5814 Retrieval Jobs - Page 43

Job Title: Sr. Fullstack Developer About Us EXL is a cutting-edge technology company dedicated to developing innovative solutions. We utilize the latest advancements in AI and machine learning to create impactful products. Our team is passionate about technology and committed to delivering high-quality, scalable solutions. Job Description We are seeking a skilled Sr. Full stack Developer to join our team. The ideal candidate will have experience in developing low latency, scalable platforms, architecting robust solutions, and working closely with data scientists to create innovative products. This role requires a good understanding of AI, large language models (LLMs), and modern web technologies. Key Responsibilities Design and develop low latency, scalable platforms using modern tech stack. Architect and implement robust, scalable solutions that meet business requirements. Integrate generative AI and large language models into applications to enhance product capabilities. Develop and integrate autonomous agents into full stack web applications. Work closely with data scientists to understand their requirements and translate them into technical solutions. Develop and integrate web technologies such as WebSocket, GraphQA, and gRPC. Work with various databases including DocumentDB, DynamoDB, MongoDB, and RDS (MySQL,Postgress SQL) to ensure efficient data storage and retrieval. Optimize system performance to ensure low latency and high scalability. Develop prototypes to demonstrate the feasibility and potential of new features and products. Create and maintain technical documentation to ensure knowledge sharing and reproducibility. Write clean, maintainable, and efficient code, following best practices in software development. Design and implement system and architecture solutions for Full stack web applications. Qualifications Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. Proven experience as a Fullstack Developer with a focus on developing low latency, scalable platforms. Proficiency in programming languages such as JavaScript, TypeScript, Python. Experience with front-end frameworks such as React, Angular Experience with back-end frameworks such as Node.js, Django, or Flask. Strong experience with DocumentDB, DynamoDB, MongoDB, and RDS. Proficiency with WebSocket, GraphQL and gRPC. Experience in developing and integrating autonomous agents into web applications. Strong understanding of system design, architecture principles, and design patterns. Scalability and Performance: Knowledge of scalability strategies, performance optimization techniques, and low-latency frameworks. Excellent analytical and problem-solving skills. Strong written and verbal communication skills to convey complex technical concepts. Preferred Qualifications Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. AWS Certification: AWS Certified Solutions Architect or similar certification. Cloud-Native Applications: Experience in building cloud-native applications. Experience with version control systems such as Git. Contributions to open-source projects or relevant publications.

Senior Manager – Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About The Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models—training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

Description As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They will set the vision, strategy, and roadmap, and work alongside with stakeholders in the organization to make it happen. They know and love working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. They are analytical and creative, and don’t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results. Key job responsibilities Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. Work with team leadership to understand the customer needs and concerns as well as define solutions. Translate basic business problem statements into analysis requirements. Work with internal customers to define best output based on expressed stakeholder needs. Use analytical and statistical rigor to solve complex problems and drive business decisions. Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting. Design and drive experiments, A/B testing, outlier deep dives and form actionable recommendations. Manage the implementation of those recommendations. Write queries and output efficiently, and have in-depth knowledge of the data available in area of expertise. Pull the data needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert data to make it analysis-ready. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Monitor and troubleshoot operational or data issues in the data pipelines Review and audit existing ETL jobs and SQL queries. Basic Qualifications 5+ years of business analyst, data analyst or similar role experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelor's degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Experience with data visualization using Tableau, Quicksight, or similar tools Preferred Qualifications Advanced degree in data science, statistics, or a related field. 5+ years in the analysis space as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles. Experience using Python, Ruby, or other scripting languages to automate data retrieval, manipulation, and analysis. Experience using R, SAS, or other statistical packages. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3027393

Soaren Management provides customer-centric alternative lending solutions in consumer markets via proprietary underwriting and loan management systems. With multiple verticals in the financial services industry, Soaren excels in customized portfolio management, software development, customer service, telecommunications, automated application processing, and asset recovery. We have built top of the line proprietary software platforms to underwrite and manage loans, which we strive to continually innovate upon. And that’s where you come in. We are seeking an experienced AI Engineer Contractor with a strong background in deep learning, backend development, and AWS infrastructure. The ideal candidate will have at least 5 years of experience in designing, implementing, and deploying AI-driven applications, with a focus on scalability, performance, and security. Key Responsibilities: Design, develop, and maintain scalable backend services and APIs that integrate advanced AI functionalities. Implement and manage cloud infrastructure using AWS services such as EC2, S3, Lambda, RDS, and SageMaker. Develop and optimize deep learning models for various applications, including computer vision, natural language processing, and recommendation systems. Build and deploy end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams to integrate AI models, including large language models (LLMs) and retrieval-augmented generation (RAG) systems, into production environments. Develop and optimize data pipelines and manage vector databases (e.g., Pinecone, Weaviate) to support AI model deployment. Ensure system performance, scalability, and reliability through robust architecture patterns and monitoring solutions. Drive cloud infrastructure automation using tools like Terraform or AWS CDK. Establish CI/CD pipelines, monitoring systems, and automated testing frameworks to support engineering best practices. Stay up-to-date with the latest AI and cloud technologies to continuously improve our systems and processes. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum of 5 years of experience in backend development, with a strong focus on Python. Extensive experience with AWS services and cloud-native application development. Proficiency in containerization and orchestration technologies such as Docker and Kubernetes. Strong understanding of RESTful APIs, microservices architecture, and serverless design patterns. Experience integrating AI models and services into backend systems. Familiarity with Infrastructure as Code (IaC) tools like Terraform or AWS CDK. Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication and collaboration skills, with experience working in cross-functional teams. Preferred Qualifications: Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Keras. Familiarity with vector databases like Pinecone or Weaviate. Knowledge of AI-specific techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning of large language models (LLMs). AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning) are a plus. OUR COMPANY MISSION Soaren Management merges time-tested business practices with bleeding-edge proprietary technologies to deliver reliable, efficient and secure financial products and services. Our greatest strengths, technology and customer care, flow from the ingenuity, curiosity and integrity of our partners and employees. VISION STATEMENT Soaren Management works toward a future where all consumers have broad and immediate access to a range of reliable, efficient, and secure financial products and services, expedited by constantly evolving technologies. COMMITMENT TO OUR TALENT Soaren Management believes our success flows directly from our employees. Our employees are at the heart of our success. As such, it's in our best interest to provide all the support they need to succeed and thrive. For that reason, Soaren Management is expanding its search for fresh talent and developing our current talent. Our commitment to our team ensures value and service to our ever-growing customer base through hiring and growing our people-centric, diverse, and forward-thinking talent. We live in our values of Innovation, Superior Customer Care, Compliance, Community, Balance, and working by the Golden Rule. EEO Policy Soaren Management, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Datavant is a data platform company and the world’s leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world’s leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we’re rising to the challenge of tackling some of healthcare’s most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As the VP of Retrieval Partnerships you represent Datavant and our Retrieval organization to critical vendors. You are the link between our company and suppliers. You’ll cultivate positive working relationships with key vendors and ensure our offshoring strategy is executed. You Will Strategic Vendor Management Design and implement a comprehensive vendor strategy that aligns with company goals and maximizes long-term value. Identify, negotiate, and formalize relationships with strategic partners and vendors across key business functions. Lead contract and performance negotiations to ensure favorable outcomes in terms of quality, delivery, cost, and service. Program Management and People Leadership Establish a small vendor management office to drive cross-functional initiatives, especially related to partner enablement. Oversee the execution of high-impact partnership programs, ensuring timely delivery, clear communication, and measurable outcomes. Lead and develop a team responsible for vendor service delivery, providing day to day supervision, coaching, and professional growth opportunities to ensure high quality performance and continuous improvement. Cross-Functional Collaboration Collaborate with Legal, Finance, Procurement, Operations, Client Success, Product, and Technology teams to align partnership activities with broader business objectives. Serve as a trusted advisor to executive leadership on partnership strategy, risks, and opportunities. Performance & Governance Define KPIs and success metrics for partnerships and vendors; establish a regular cadence for performance reviews. Develop governance frameworks to ensure vendor compliance, risk mitigation, and continual performance improvement. What You Bring To The Table Proven experience working with vendors, both onshore and offshore, with a track record of building productive, long-term relationships. Strong global mindset and prior success leading or collaborating with international teams, particularly in offshore delivery models. A sharp eye for talent — you know how to assess, develop, and retain top-performing vendor teams and internal stakeholders alike. Operational rigor and the ability to execute in a fast-paced, evolving environment. Exceptional communication and negotiation skills, with the ability to influence cross-functional leaders and external partners. Willingness to travel, domestic and international, 30% of the time Bonus If You Have Deep understanding of operations, including chart retrieval workflows and the unique needs of payers and providers. This role is bonus eligible We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $70,000—$80,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please contact us at peopleteam@datavant.com. We will review your request for reasonable accommodation on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

About Responsive Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Learn more at responsive.io. Why Join Us? Impact-Driven Work: Build innovative solutions that redefine strategic response management. Collaborative Environment: Work with a passionate team of technologists, designers, and product leaders. Career Growth: Be part of a company that values learning and professional development. Competitive Benefits: We offer comprehensive compensation and benefits to support our employees. Trusted by Industry Leaders: Be part of a product that is trusted by world-leading organizations. Cutting-Edge Technology: Work on AI-driven solutions, cloud-native architectures, and large-scale data processing. Diverse and Inclusive Workplace: Collaborate with a global team that values different perspectives and ideas. About the Role Responsive is looking for an Engineering Manager to lead and grow a team of high-performing engineers while driving technical excellence in full-stack development (Java + React). In this role, you will be responsible for technical strategy, team mentorship, and scalable system design. You will collaborate closely with cross-functional teams to build high-performance, reliable, and scalable SaaS solutions while ensuring best practices in observability, performance monitoring, and system health. What You’ll Be Doing Technical Leadership & Strategy: Define and execute the technical vision for scalable and maintainable solutions in Java and React. People Management & Mentorship: Lead a team of engineers, provide mentorship, conduct performance reviews, and foster a culture of continuous learning. Full-Stack Development Oversight: Ensure best practices in Java-based backend services, React-based frontend applications and MongoDB for data storage, driving a high-quality development process. Observability & Monitoring: Establish and enhance monitoring, logging, and tracing frameworks to ensure system reliability and proactive issue detection. Performance Optimization: Drive performance tuning, system scaling, and resource optimization for cloud-based architectures. Collaboration & Stakeholder Management: Work closely with product managers, UX designers, and other engineering teams to align development with business objectives. Continuous Improvement: Promote best practices in coding, security, DevOps, CI/CD, and agile methodologies. What We’re Looking For Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Experience: 12+ years of experience in software development, with at least 2+ years in a leadership/managerial role. Skills, Qualifications & Ability: Strong expertise in Java and React for full-stack application development. Experience with MongoDB and knowledge of relational and NoSQL databases. Proven leadership and mentorship experience, with a track record of coaching and growing engineers at different levels. Ability to inspire, engage, and develop high-performing engineering teams while fostering a collaborative and inclusive culture. Experience in setting technical direction, conducting architecture reviews, and guiding teams on best practices. Strong experience with observability and monitoring tools like New Relic, OpenSearch, and Splunk. Expertise in cloud-native development, with hands-on experience in AWS, GCP, or Azure. Proficiency in search and retrieval technologies (ElasticSearch, Apache Solr, etc.), with knowledge of AI-driven search and NLP as a plus. Strong understanding of system scalability, fault tolerance, and performance tuning. Proficiency in CI/CD, TDD, and DevOps practices, including Docker, Kubernetes, and infrastructure-as-code. Strong problem-solving skills, decision-making ability, and stakeholder management experience. Experience working in agile environments, with familiarity in Scrum and JIRA.

Job Overview We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI , including LLM fine-tuning and prompt engineering . This role requires hands-on expertise across NLP , Computer Vision , and AI agent-based systems , with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field. 5+ years of hands-on experience in AI/ML solution development. Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT. Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG). Proficient in key AI libraries and frameworks: LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers NLP: SpaCy, NLTK. Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2 MLOps: MLflow, FastAPI, Docker, Git Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation. Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure. Strong communication skills and ability to convert business problems into technical solutions. Preferred Qualifications Experience building multimodal systems (text + image, etc.) Practical experience with agent frameworks for autonomous or goal-directed AI. Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment. Key Responsibilities Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications. Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality. Build NLP solutions for Q&A, summarization, information extraction, text classification, and more. Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks. Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines. Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features. Optimize models for performance, cost-efficiency, and low latency in production. Continuously evaluate new AI research, tools, and frameworks and apply them where relevant. Mentor junior AI engineers and contribute to internal AI best practices and documentation. Skills:- Artificial Intelligence (AI), Generative AI, Machine Learning (ML), Large Language Models (LLM), Prompt engineering, Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision, AI Agents, Vector database, Python, Docker and API

Join a Company That Invests In You Seeking Alpha is the world's leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference. Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals. What We're Looking For We are looking for an experienced prompt engineer, with financial services / investment research background to join our AI Product Team. In this role, you will be responsible for designing, optimizing and fine-tuning prompts across all AI-powered products and features at Seeking Alpha. You will work closely with AI product managers, data scientists, developers, and content teams to enhance our AI capabilities, including content generation systems and our Agentic-AI search assistant. What You'll Do: As our prompt engineer, you'll be crafting the intelligent prompts that power our investment features and analysis tools. You will play a key role in designing a best in class user experience - based on the unique and high quality investment research content of Seeking Alpha. You'll design and optimize prompts that help our AI systems understand complex financial contexts, generate high-quality investment content and provide accurate responses to user queries about market trends and stock analysis. Design, develop and optimize prompts for content generation, AI search assistance and other AI-powered features across Seeking Alpha's product suite Implement prompt management strategies using platforms like Open AI, Vellum AI and AWS Bedrock, ensuring scalable and maintainable prompt libraries Collaborate with AI product managers and other teams to integrate prompt solutions with OpenAI, Anthropic and Google Gemini APIs Conduct A/B testing and performance analysis to evaluate and continuously improve prompt effectiveness, measuring metrics like response quality, user satisfaction and cost efficiency Establish best practices and frameworks for prompt engineering across the organization, mentoring team members on prompt optimization techniques Design and implement agentic workflows, including RAG system to enhance our AI search assistant's ability to retrieve and synthesize relevant information Stay current with the latest developments in prompt engineering, LLM capabilities and AI safety practices to maintain Seeking Alpha's competitive edge Requirements: Proven experience in prompt engineering - a must! Strong financial markets background with proven investing knowledge and deep understanding of equity research, financial fundamentals, and financial analysis. Deep knowledge of prompts types (synthetic, manual, data-driven, evolutionary) Hands-on experience working with multiple LLM providers including OpenAI, Anthropic and Google Gemini APIs in production environments Proficiency with prompt management platforms such as Vellum AI, AWS Bedrock Strong technical background for API integrations and basic code execution Experience with RAG (Retrieval-Augmented Generation) systems Proven track record of designing and executing A/B tests for AI systems with measurable improvements in performance metrics Knowledge of AI safety principles and responsible AI practices, particularly in content generation and information retrieval systems Strong analytical and problem-solving skills Excellent communication skills and experience working in cross-functional teams to deliver AI products at scale

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39477 Profile Summary: We are committed to leveraging Artificial Intelligence to develop innovative solutions that enhance the experiences of both our internal and external customers. Our objective is to harness our internal knowledge base and integrate it seamlessly with business applications, enabling the delivery of intelligent, user-centric digital experiences. We are seeking a highly skilled AI/ML Engineer with a passion for continuous learning and staying ahead of emerging technologies. The ideal candidate will be instrumental in designing, developing, and scaling AI-powered solutions that address dynamic business challenges and evolving customer expectations. About HID Global HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses, and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 4500 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai). Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ Physical Access Control Solutions (PACS): HID Physical Access Control Solutions (PACS) is at the forefront of securing spaces with advanced, reliable access control solutions. From cutting-edge readers, credentials and controllers to mobile and biometric technologies, HID PACS empowers organizations worldwide to protect their people, property and assets with scalable, high-quality solutions. This is more than just a job – it’s your chance to join an industry leader to drive innovation in access control and make a real impact on global security solutions. Are you ready to make a difference? Join us and help shape the future of security. Are You Ready to Join the Team? Our company is committed to finding the best and the brightest talent to help us reach the top. If you are a dynamic, highly skilled, experienced Cloud engineer and technology enthusiast, and you enjoy working in a rapid pace within a rapidly growing business environment, then you will want to consider this position. If you excel at communication, collaboration, and unrelenting innovation, we want to talk to you. And if you bring dedication, positive energy and integrity to the table, you just might be the right fit for our team. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities (Other Duties May Be Assigned) Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Lead the complete software development lifecycle, from initial concept and requirements gathering to deployment and post-release support. Manage end-to-end development of software and applications, ensuring alignment with business and user needs. Design, develop, analyze, and deploy high-quality software solutions in a timely manner. Implement automated testing strategies and provide structured feedback to stakeholders throughout the development process. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Maintain and enhance existing software systems by diagnosing issues, implementing improvements, and verifying changes through testing. Ensure ongoing software performance, stability, and scalability through regular updates and upgrades post-deployment. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem-solving mindset. Technical Requirements: Front-End Development: Proficiency in JavaScript/TypeScript, HTML5, CSS3, and experience with modern front-end frameworks and libraries such as Svelte or React. Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Server-Side Development: Strong working knowledge of server-side programming languages, including Python and Node.js. Databases and Caching: Familiarity with relational and non-relational database systems such as SQL Server, Oracle, MySQL, and MongoDB, along with experience in caching technologies like Redis and Memcached. Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Artificial Intelligence / LLM: Exposure to AI and Large Language Model development using tools such as LangChain, prompt engineering techniques, and Retrieval-Augmented Generation (RAG). DevOps and CI/CD: Experience with DevOps practices, including tools and processes for continuous integration and continuous deployment (CI/CD). Security: Solid understanding of security best practices and principles related to web application development. Experience and/or Education Qualification: Graduation or master’s in computer science or information technology or AI/ML 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in LLM (RAG, prompt engineering etc) would be preferred Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

An Amazing Career Opportunity for AI/ML Engineer Location: Chennai, India (Hybrid) Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Who are we? HID powers the trusted identities of the world’s people, places, and things, allowing people to transact safely, work productively and travel freely. We are a high-tech software company headquartered in Austin, TX, with over 4,000 worldwide employees. Check us out: www.hidglobal.com and https://youtu.be/23km5H4K9Eo LinkedIn: www.linkedin.com/company/hidglobal/mycompany/ About HID Global, Chennai HID Global powers the trusted identities of the world’s people, places and things. We make it possible for people to transact safely, work productively and travel freely. Our trusted identity solutions give people secure and convenient access to physical and digital places and connect things that can be accurately identified, verified and tracked digitally. Millions of people around the world use HID products and services to navigate their everyday lives, and over 2 billion things are connected through HID technology. We work with governments, educational institutions, hospitals, financial institutions, industrial businesses and some of the most innovative companies on the planet. Headquartered in Austin, Texas, HID Global has over 3,000 employees worldwide and operates international offices that support more than 100 countries. HID Global® is an ASSA ABLOY Group brand. For more information, visit www.hidglobal.com . HID Global has is the trusted source for secure identity solutions for millions of customers and users around the world. In India, we have two Engineering Centre (Bangalore and Chennai) over 200+ Engineering Staff. Global Engineering Team is based in Chennai and one of the Business Unit Engineering team is based in Bangalore. Physical Access Control Solutions (PACS) HID's Physical Access Control Solutions Business Area: HID PAC’s Business Unit focuses on the growth of new clients and existing clients where we leverage the latest card and reader technologies to solve the security challenges of our clients. Other areas of focus will include authentication, card sub systems, card encoding, Biometrics, location services and all other aspects of a physical access control infrastructure. Qualifications:- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers. Why apply? Empowerment: You’ll work as part of a global team in a flexible work environment, learning and enhancing your expertise. We welcome an opportunity to meet you and learn about your unique talents, skills, and experiences. You don’t need to check all the boxes. If you have most of the skills and experience, we want you to apply. Innovation: You embrace challenges and want to drive change. We are open to ideas, including flexible work arrangements, job sharing or part-time job seekers. Integrity: You are results-orientated, reliable, and straightforward and value being treated accordingly. We want all our employees to be themselves, to feel appreciated and accepted. This opportunity may be open to flexible working arrangements. HID is an Equal Opportunity/Affirmative Action Employer – Minority/Female/Disability/Veteran/Gender Identity/Sexual Orientation. We make it easier for people to get where they want to go! On an average day, think of how many times you tap, twist, tag, push or swipe to get access, find information, connect with others or track something. HID technology is behind billions of interactions, in more than 100 countries. We help you create a verified, trusted identity that can get you where you need to go – without having to think about it. When you join our HID team, you’ll also be part of the ASSA ABLOY Group, the global leader in access solutions. You’ll have 63,000 colleagues in more than 70 different countries. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

Client Type: US Client Job Type: Remote The hourly rate is negotiable. About the Role We are seeking a dynamic and knowledgeable Subject Matter Expert (SME) to play a key role in the development and delivery of a certification program focused on AI Agent technologies. The successful candidate will leverage their deep expertise in Microsoft AI tools and platforms to shape the curriculum, create training materials, and empower learners with practical skills in AI Agent development and deployment. This role requires a strong passion for education, excellent communication skills, and the ability to effectively convey complex technical information. Responsibilities: Collaborate with a team of learning experience designers to help create and validate training materials. Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements. Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience. Review a detailed program outline, ensuring alignment with the high-level program outline, and helping to confirm that content is presented in the correct order and format. Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate. Support creation of content-specific graphics such as tables, flow charts, screen captures, etc. Create any assets required to make demonstrations that showcase specific procedures and skills. Create recordings of software demonstrations and related audio scripts. Coordinate with learning experience designers to build out the assets, steps, and technical elements needed for hands-on projects such as exercises, labs, and projects. Be available during US business hours, M-F, for content reviews, questions, and occasional meetings. Work on the company's systems for all work, including email, messaging platform, and cloud-based file storage systems. Log time weekly and invoice time monthly. Essential Tools & Platforms Azure AI Foundry Azure AI Agent Service Azure OpenAI Service (e.g., GPT-40, GPT-3.5 Turbo) Semantic Kernel AutoGen Azure Machine Learning (AML) Microsoft Copilot Studio Azure Logic Apps Power Automate Azure Functions Azure AI Services (including Azure AI Language, Azure AI Speech, Azure AI Vision, Azure AI Document Intelligence, Azure AI Search) Azure Bot Framework Azure Monitor Azure DevOps Visual Studio Code Azure API Management Required Skills & Experience Proven hands-on experience designing, building, testing, and deploying complex AI agents and multi-agent systems on Microsoft Azure. Extensive practical experience implementing agent capabilities such as tool use (function calling), retrieval-augmented generation (RAG), memory management, and conversational flows using tools like Semantic Kernel, AutoGen, Azure AI Agent Service, and Azure OpenAI. Demonstrated ability to integrate various Azure AI Services (e.g., Azure AI Search, Azure AI Vision, Azure AI Language, Azure AI Document Intelligence) as functional tools for AI agents to interact with external data and capabilities. Experience designing and implementing agent orchestration and workflow automation using Azure Logic Apps, Power Automate, or Azure Functions in conjunction with AI agents. Practical experience with deploying and managing AI agent solutions on Azure infrastructure, potentially including Azure Machine Learning endpoints, or integrating with services like Azure Bot Framework or Microsoft Copilot Studio. Familiarity with monitoring, logging, and debugging AI agent performance and interactions using tools like Azure Monitor. Understanding and practical application of MLOps principles for AI agents, including version control (GitHub/Azure DevOps) and potential CI/CD pipelines for agent updates or deployments. Experience working with vector databases (like Azure Cosmos DB for MongoDB vCore with vector search or integrating with Azure AI Search vector capabilities) for implementing RAG in agent systems. Experience in reviewing training materials for technical accuracy and clarity. A strong understanding of adult learning principles is a plus. Essential experience in training, learning, and development, or teaching. Proven ability to create and deliver effective screencasts and video tutorials. Strong ability to articulate complex technical concepts in an accessible manner. Availability to work during the US time zones' business hours. Qualifications Bachelor's or Master's degree in Computer Science, AI, Software Engineering, or a related technical field. 5+ years of hands-on experience designing, building, and deploying complex AI agents and multi-agent systems on Microsoft Azure, including proficiency in RAG, tool use, and memory management with tools like Azure AI Agent Service, Azure OpenAI, Semantic Kernel, and AutoGen. Microsoft Certified: Azure AI Engineer Associate (AI-102) and ideally Microsoft Certified: Azure Developer Associate (AZ-204). Demonstrable expertise with key Azure services for AI agents, such as Azure AI Foundry, Microsoft Copilot Studio, Azure Machine Learning, Logic Apps, Power Automate, Azure Functions, Azure AI Services (Search, Language, Vision, Document Intelligence), and Azure Monitor. Practical understanding and application of MLOps principles for AI agents, including version control (Azure DevOps/GitHub), CI/CD pipelines, and experience with vector databases for RAG. 2+ years of experience in technical training, learning & development, or teaching, with a proven ability to create, review, and deliver high-quality, technically accurate training materials (e.g., course outlines, hands-on exercises, video tutorials). Exceptional technical communication skills, including the ability to articulate complex concepts clearly to diverse audiences and a strong understanding of adult learning principles. Understanding of responsible AI, bias mitigation, and security best practices in AI pipelines. Strong problem-solving, debugging, and communication skills.

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We are seeking a Senior AI Engineer to join our dynamic team. In this role, you will be instrumental in building data-driven ML/AI algorithms that enhance our search and recommendation systems. Your primary focus will be on data engineering, analysis, transformations, model training, and serving, ensuring practical and scalable applications of machine learning within our products. This position emphasizes productization and the implementation of ML/AI solutions over pure data science and research, making it ideal for professionals thriving in the fast-paced generative AI era. Key Responsibilities Data Engineering & Analysis Slice and dice analytics data to formulate hypotheses and generate ideas to improve search and recommendation performance. Perform comprehensive data transformations to prepare datasets for model training and evaluation. Build and maintain data pipelines using tools like Airflow, Kubeflow, and MLflow to support ML/AI workflows. Model Development & Deployment Design, develop, and enhance machine learning and AI models tailored to product discovery and search functionalities. Conduct feature engineering to extract meaningful insights from historical data, search queries, product catalogs, and images. Collaborate with Data Engineers to integrate and scale ML components to production-level systems capable of handling large-scale data. Ensure seamless deployment of models, maintaining high availability and performance in cloud environments. Algorithm Implementation & Optimization Dive deep into algorithm applicability, performing impact analysis to ensure models meet performance and business objectives. Optimize and build new algorithms to address various challenges in product discovery and search. Productization of ML/AI Solutions Translate data-driven insights and models into actionable product features that enhance user experience. Work closely with Data Science, Product and Engineering teams to implement practical ML/AI applications that drive business outcomes. Continuous Learning & Improvement Stay abreast of the latest advancements in ML/AI, particularly in generative AI and large language models (LLMs). Continuously refine and improve existing models and workflows based on new research and industry trends. Qualifications Educational Background BS/MS degree in Computer Science, Engineering, Mathematics, or a related discipline with a strong mathematical foundation. Experience 5-8 years of experience building ML-driven, fast, and scalable ML/AI algorithms in a corporate or startup environment. Technical Skills Proficient in Python with excellent programming skills. Strong understanding of machine learning and natural language processing technologies, including classification, information retrieval, clustering, knowledge graphs, semi-supervised learning, and ranking. Experience with deep learning frameworks such as PyTorch, Keras, or TensorFlow. Proficient in SQL and experience with data warehouses like Redshift or BigQuery. Experience with big data technologies such as Hadoop, Spark, Kafka, and data lakes for large-scale processing. Strong understanding of data structures, algorithms, and system design for building highly available, high-performance systems. Experience with workflow orchestration and ML pipeline tools such as Airflow, Kubeflow, and MLflow. Specialized Knowledge Strong awareness of recent trends in Generative AI and Large Language Models (LLMs). Experience working with the GenAI stack is highly desirable. Soft Skills Excellent problem-solving and analytical skills with the ability to adapt to new ML technologies. Effective communication skills in English, both verbal and written. Ability to work collaboratively in a fast-paced, agile environment. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*. The Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5 Personal Development: We have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.* Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)* Well-being: The Employee Assistance Program -- with counselors -- is available for non-work-related challenges.* Subscription to Calm - sleep and meditation app.* We organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers.* Compensation: Restricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.* Everyone gets to participate in the company's success through the company performance bonus.* We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries -- Bloomversaries!* (*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.) Excited? Join us and transform the future of commerce experiences! If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful! Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

Yahoo Finance is the world’s #1 finance destination, empowering investors with news, information, and tools to make financial decisions with confidence. Trusted by over 150M visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high-quality real-time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and much more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity. About Yahoo Yahoo is a leading provider of media and technology brands, reaching over a billion people around the world. Yahoo’s Media Engineering organization uses the latest technologies to build brands our members love. Our brands include Yahoo, AOL, Engadget, TechCrunch, Autoblog, In The Know and many more. They reach hundreds of millions of users so we are focused on building everything at a massive scale. We strive to create world-class user experiences for our valued members, delivering up to the minute, trusted content and data across all of our brands. In order to support this, our teams build the best in breed tools, APIs, utilities and services using bleeding edge technologies at scale. At Yahoo Finance, we power experiences for millions of users globally every month and remain the clear leader in our category. Our systems scale to processing 5 billion market events per day from over 80 global exchanges. We are the largest business, financial information and tools app/site in the world, with unrivaled access to data, insights, tools and original editorial content. Under a new leadership team, we have recommitted to building and revitalizing this essential, trusted resource for investors and savers. About The Role We are looking for an experienced engineer with a proven track record of building world class scalable systems that exceed customer needs while achieving business goals. In this position, you will collaborate closely with Engineering, Product and Design teams to enhance our expanding range of product offerings. Additionally, you will develop applications and tools essential for effectively supporting our overall business operations and ensuring the quality of our data and services. This role will be directly responsible for architecting, designing, scoping, building, maintaining, and iterating on the underlying systems needed to deliver world class finance products and features. The role will be located in Bangalore, India. Your Day: Be part of an agile scrum team and demonstrate constant progress through proof of concept, sandboxing and prototyping Implement scalable, maintainable, secure and reusable strategic solutions Estimate timelines, perform task breakdown, scoping, design, implementation for mid-to-large scale products and complex multi-month deliverables with insightful strategic approaches Seek opportunities in our day-to-day workflow and process to improve quality and efficiency from initial ideation to deployment Present and communicate across the team to showcase progress, share knowledge and evangelize best practices Perform code reviews for your peers where they will learn from your experience and guidance contributing to collaborative working models Recommend approaches to solving complex problems and use new technologies to achieve goals Own, deploy, monitor, and operate large-scale production systems distributed across the globe. Mentor junior engineers in the process of building production grade systems and applications which scale and perform Requirements (must have): BS, MS, PhD in Computer Science or a related major 2 to 6 years industry experience as a Back End Engineer Deep functional knowledge and hands on experience with the following technologies (or equivalent); Java, J2EE, mySQL, Spring, RESTful Web Services, Apache Storm, Apache Spark, GraphQL, Redis, Kubernetes, AWS services Experience implementing large scale, highly integrated, distributed data acquisition, ingestion, publishing, storing and serving systems Ability to implement multi-layered, scaled applications using AWS native services Advantageous to have the following: Machine learning, AI, statistics, information retrieval, linguistic and sentimental analysis Experience with containerization technology (Docker, ECS, Kubernetes) Development experience in public cloud infrastructure like GCP or AWS Important notes for your attention Applications: All applicants must apply for Yahoo openings direct with Yahoo. We do not authorize any external agencies in India to handle candidates’ applications. No agency nor individual may charge candidates for any efforts they make on an applicant’s behalf in the hiring process. Our internal recruiters will reach out to you directly to discuss the next steps if we determine that the role is a good fit for you. Selected candidates will go through formal interviews and assessments arranged by Yahoo direct. Offer Distributions: Our electronic offer letter and documents will be issued through our system for e-signatures, not via individual emails. Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response. Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. If you’re curious about how this factors into this role, please discuss with the recruiter. Currently work for Yahoo? Please apply on our internal career site.

Responsibilities Data structures and algorithms Data persistence and serialization techniques Data transformation and data modeling Experience with time-series databases (e.g., MongoDB) Knowledge of vector and/or graph databases Understanding of relational vs. NoSQL databases Familiarity with RAG (Retrieval-Augmented Generation) integration with databases

Company Description Ramboll in India Ramboll has more than 1,800+ experts working across six offices in India applying their passion to deliver innovative solutions in markets as diverse as Architecture & Landscape, Buildings, Transport, Water, Environment & Health, and Energy. Founded in Denmark, Ramboll is a people company. We invite you to contribute to a sustainable future working in an open, collaborative, and empowering culture. Welcome to our Support Organization In Ramboll’s Support Organization we take pride in keeping Ramboll running smoothly, enabling bright minds throughout the organization to focus on their areas of expertise as we tie together all parts of the business. We provide support within areas like Finance, HR, Client & Sales, Opex and more, coordinating efforts and securing common ground for the development and servicing of clients and markets. Job Description You will join our Data & Analytics team We are seeking a skilled and experienced independent Business Intelligence Developer with 5+ years of experience to join our team. The ideal candidate will have extensive expertise in SQL along with Data Warehousing knowledge , Data Modelling (Tabular Cube), SSIS, Azure Data Factory, Azure Database, and Power BI . In this role, you will be responsible for developing data solutions, transforming and integrating data, and delivering actionable insights through Power BI. Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. Whilst we look forward to supporting your continued learning and development, for this role we have identified some qualifications, skills, and capabilities that will set you up for success. Key Responsibilities: Design, develop, and implement complex T-SQL queries and Stored Procedures to extract, manipulate, and report data from diverse sources. Work with Data Warehousing concepts to design, implement, and maintain data warehouses to support BI solutions. Data Modeling: Create and optimize data models to ensure efficient reporting, analysis, and business intelligence solutions. Develop and maintain ETL processes using SSIS (SQL Server Integration Services) and Azure Data Factory to integrate data from various sources into the data warehouse. Design, develop, and deploy Power BI reports, dashboards, and visualizations to provide stakeholders with meaningful insights. Optimize SQL queries, stored procedures, and ETL pipelines for performance, ensuring data retrieval and transformation processes are efficient. Ensure data quality and accuracy in all BI reports, dashboards, and data models. Collaborate with business users and technical teams to gather requirements, design BI solutions, and translate them into actionable insights. Document BI processes, SQL scripts, stored procedures, and data models. Stay updated on the latest BI trends, tools, and techniques, continuously improving BI solutions and data workflows. Qualifications Required Skills & Qualifications: Strong SQL skills, including complex queries and Stored Procedures. Expertise in Data Warehousing, Data Modeling, and designing scalable data structures. Proficient in SSIS and Azure Data Factory for ETL and data integration. Extensive experience with Power BI and complex DAX codes for creating reports and dashboards. Skilled in query optimization and performance tuning. Excellent communication and collaboration skills. Good to have: Experience with Microsoft Fabric and cloud base platforms such as Azure Synapse, Azure Data Lake, or Azure SQL Data Warehouse. Exposure to Git, Azure DevOps, or other version control systems for code management Knowledge of scripting languages (e.g., Python, PowerShell) is a plus. Additional Information How to apply Apply online. Attach your CV, cover letter and relevant documents showcasing why you are the right fit for the role, and when you are available to start. We look forward to receiving your application.

Client Type: US Client Location: Remote The hourly rate is negotiable. About the Role We’re creating a new certification: Google AI Ecosystem Architect (Gemini & DeepMind) - Subject Matter Expert . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement.

Company Overview Sumvaik Consulting Group is a premier management consultancy firm based in Gurugram, offering tailored business consultancy and digital marketing solutions. We specialize in website and mobile app development, helping businesses stay ahead of the competition. Job Overview We are looking for an experienced Full-Stack Developer with expertise in MERN (MongoDB, Express.js, React.js, Node.js), Laravel (PHP Framework) and Shopify . The ideal candidate should have a strong understanding of both JavaScript and PHP-based development, capable of building scalable applications with a focus on UI/UX and backend architecture. Key Responsibilities Develop and maintain dynamic, user-friendly interfaces using React.js , ensuring a responsive design across all devices. Implement robust APIs and server-side logic using Node.js (Express.js) and Laravel (PHP Framework) for scalable and secure applications. Design and manage databases using MongoDB, MySQL, or PostgreSQL , optimising data retrieval and performance. Collaborate with designers or independently create wireframes and prototypes using Figma, Adobe XD , or similar tools. Ensure seamless integration between frontend and backend for full-stack applications. Perform unit testing, debugging, and code optimisation to maintain high-performance applications. Work with product managers, designers, and developers to bring ideas from concept to deployment. Maintain and optimize existing applications, ensuring best practices in coding and security. Requirements Technical Skills: Proficiency in React.js, Redux, HTML5, CSS3, JavaScript (ES6+), Angular, or Vue.js for frontend development. Strong backend development experience with Node.js (Express.js),Laravel (PHP) and Shopify. Expertise in database management with MongoDB, MySQL, or PostgreSQL . Experience with version control systems such as Git, GitHub, or GitLab . Knowledge of UI/UX tools like Figma or Adobe XD is a plus. Familiarity with authentication methods such as JWT and OAuth . Experience: Minimum of 3 years of experience in full-stack development with MERN & Laravel. Proven ability to deliver end-to-end web applications. Hands-on experience with API development and third-party integrations. Soft Skills: Strong problem-solving abilities and attention to detail. Excellent communication and teamwork skills. Ability to manage multiple projects in a fast-paced environment. Nice to Have Experience with AWS, Firebase, or cloud platforms . Familiarity with CI/CD pipelines for automated deployment. Exposure to TypeScript or GraphQL . Why Join Us? Work on innovative and scalable applications that make an impact. Opportunities for continuous learning and career growth . A collaborative and flexible work environment. If you are passionate about full-stack development and want to be part of a dynamic team, we would love to hear from you. Apply now to join Sumvaik Consulting Group! Job Type: Full-time Pay: ₹376,454.18 - ₹550,000.00 per year Benefits: Flexible schedule Paid sick time Paid time off Location Type: In-person Schedule: Fixed shift Application Question(s): What is your current CTC and What is your expectation? Experience: Full-stack development: 3 years (Preferred) Work Location: In person Speak with the employer +91 9999187566 Application Deadline: 10/07/2025 Expected Start Date: 14/07/2025

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation -GenAI/Agentic – Manager We are looking to hire people with strong AI Enabled Automation skills and who are interested in applying AI in the process automation space – Azure, AI, ML, Deep Learning, NLP, GenAI , large Lang Models(LLM), RAG ,Vector DB , Graph DB, Python. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Responsibilities: Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of AI enabled automation applications. Ensure seamless integration of optimized solutions into the overall product or system Collaborate with cross-functional teams to understand requirements, to integrate solutions into cloud environments (Azure, GCP, AWS, etc.) and ensure it aligns with business goals and user needs Educate team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project Technical Skills Requirements 9 to 13 years of relevant professional experience Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. Strong foundation in ML algorithms, feature engineering, and model evaluation.- Must Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP.-Must Experience in GenAI technologies — LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.(Agentic Framework) Knowledge of retrieval augmented generation (RAG) Knowledge of Knowledge Graph RAG Experience with multi-agent orchestration, memory, and tool integrations Experience/Implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning and reproducibility)--Good to have Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. Good understanding of data pipelines, APIs, and distributed systems. Build observability into AI systems — latency, drift, performance metrics. Strong written and verbal communication, presentation, client service and technical writing skills in English for both technical and business audiences. Strong analytical, problem solving and critical thinking skills. Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. And while we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY you can be who you are and express your point of view, energy and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Overview We are seeking a meticulous and efficient Data Entry Clerk to join our team. The ideal candidate will be responsible for accurately entering, updating, and maintaining data in our systems, ensuring data integrity and supporting various administrative functions. Key Responsibilities Data Entry & Maintenance : Accurately input and update data into company databases and systems, ensuring completeness and correctness. Data Verification : Review and verify data for errors, inconsistencies, or duplicates; correct discrepancies as needed. Record Management : Organize and maintain both physical and electronic records, ensuring easy retrieval and secure storage. Reporting : Generate reports and data summaries as requested by team members or management. Data Security : Adhere to confidentiality and data protection protocols at all times. Collaboration : Communicate with team members to clarify data requirements and resolve issues. Backup & Recovery : Perform regular backups to secure sensitive information and prevent data loss. Qualifications Education : High school diploma or equivalent; additional certification in data entry or office administration is a plus. Experience : Previous experience in data entry, administrative support, or a similar role is preferred. Technical Skills : Proficiency in Microsoft Office Suite (Excel, Word, etc.) and basic knowledge of database management. Typing Skills : Fast typing speed with high accuracy; familiarity with touch typing is advantageous. Language Proficiency : Good command of English, both oral and written. Skills & Competencies Attention to Detail : Ability to spot errors and inconsistencies in data. Time Management : Ability to manage multiple tasks and meet deadlines effectively. Organizational Skills : Strong ability to organize and maintain records systematically. Confidentiality : Ability to handle sensitive information responsibly. Communication : Strong interpersonal and communication skills for effective collaboration. Problem-Solving : Ability to identify and resolve data-related issues efficiently. Salary Range The salary for this position is competitive and commensurate with experience. Job Types: Full-time, Permanent, Fresher Pay: ₹13,000.00 - ₹15,000.00 per month Schedule: Day shift Fixed shift Ability to commute/relocate: Sohna, Haryana: Reliably commute or planning to relocate before starting work (Required) Experience: Microsoft Excel: 1 year (Preferred) Work Location: In person

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36726 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Line of Service Advisory Industry/Sector GPS X-Sector Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. In business analysis at PwC, you will focus on analysing and interpreting data to provide strategic insights and recommendations for improving business performance. Your work will involve strong analytical skills and the ability to effectively communicate findings to stakeholders. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 157 countries with more than 300,000 people who are committed to delivering quality in Assurance, Advisory and Tax services. Within Advisory, PwC has a large team that focus on transformation in Government through Digital inclusion. The open position is for a candidate who desires to work with government clients and bring about a change in society. A successful candidate will be expected to work pro-actively and effectively on multiple client engagements over the period of time and take ownership of the entire project delivery he/she entrusted with. Responsibilities: · Lead the design and implementation of AI/ML models, particularly in the areas of Generative AI and advanced data analytics · Develop and fine-tune large language models (LLMs) and transformer-based architectures for specific use cases · Collaborate with data engineers, product owners and business stakeholders to translate requirements into intelligent solutions · Deploy ML models in production using MLOps practices, ensuring scalability and performance · Drive experimentation with cutting-edge Gen AI techniques (e.g., text generation, summarization, image synthesis) · Conduct data exploration, feature engineering and statistical modeling to support various business needs · Mentor junior team members and guide them in model development and evaluation best practices · Stay up to date with the latest research and industry trends in AI, ML and Gen AI · Document methodologies, models and workflows for knowledge sharing and reuse Mandatory skill sets: · 4+ years of experience in AI/ML and data science, with proven experience in Generative AI · Hands-on expertise with Python and relevant ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn) · Strong understanding of LLMs (e.g., GPT, BERT, T5), transformers and prompt engineering · Experience with NLP techniques such as text classification, summarization, entity recognition and conversational AI · Ability to build and evaluate supervised and unsupervised learning models · Proficient in data wrangling, exploratory data analysis and statistical techniques · Familiarity with model deployment tools and platforms (Docker, FastAPI, MLflow, AWS/GCP/Azure ML services) · Excellent problem-solving, analytical thinking and communication skills Preferred skill sets : · Experience fine-tuning open-source LLMs using domain-specific data · Exposure to reinforcement learning (RLHF), diffusion models or multimodal AI · Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) architectures · Experience with ML pipelines and automation (CI/CD for ML, Kubeflow, Airflow) · Background in conversational AI, chatbots or virtual assistants · Knowledge of data privacy, ethical AI and explainable AI principles · Publications, Kaggle participation or open-source contributions in the AI/ML space Years of experience required: 4+ years Education qualification : · Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics or a related field Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Artificial Intelligence Markup Language, PyTorch, Scikit-Learn, Tensorflow Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Administration, Business Analysis, Business Case Development, Business Data Analytics, Business Process Analysis, Business Process Modeling, Business Process Re-Engineering (BPR), Business Requirements Analysis, Business Systems, Communication, Competitive Analysis, Creativity, Embracing Change, Emotional Regulation, Empathy, Feasibility Studies, Functional Specification, Inclusion, Intellectual Curiosity, IT Project Lifecycle, Learning Agility {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Our Company: At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do: In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product. Job Responsibilities: Design, develop, and scale intelligent software systems that power autonomous AI agents capable of reasoning, planning, acting, and learning in real-world environments. Lead the implementation of core Agentic AI components — including agent memory, context-aware planning, multi-step tool use, and self-reflective behavior loops. Architect robust, cloud-native backends that support high-throughput agent pipelines across AWS, Azure, or GCP, with best-in-class observability and fault tolerance. Build seamless integrations with large language models (LLMs) such as GPT-4, Claude, Gemini, or open-source models — using advanced techniques like function calling, dynamic prompting, and multi-agent orchestration. Develop scalable APIs and services to connect agents with internal tools, vector databases, RAG pipelines, and external APIs. Own technical delivery of major agent-related features, leading design reviews, code quality standards, and engineering best practices. Collaborate cross-functionally with researchers, ML engineers, product managers, and UX teams to translate ideas into intelligent, performant, and production-ready systems. Define and implement testing strategies to validate agentic behavior in both deterministic and probabilistic conditions. Guide junior engineers and peers by mentoring, unblocking challenges, and championing a culture of technical excellence. Continuously evaluate emerging frameworks, libraries, and research to drive innovation in our Agentic AI stack. What makes you a qualified candidate: 5+ years of hands-on experience in backend development, distributed systems, or AI infrastructure, with a proven track record of delivering in high-scale environments. Expertise in building and deploying AI-integrated software , particularly with LLMs and frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, or custom orchestrators. Strong development skills in Python (preferred), Go, Java, or similar languages used in intelligent system design. Practical knowledge of agentic AI principles — including task decomposition, autonomous decision-making, memory/context management, and multi-agent collaboration. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and embedding models for semantic search and retrieval-augmented generation (RAG). Deep experience working with cloud platforms (AWS, Azure, or GCP), containerized environments (Docker/Kubernetes), and infrastructure-as-code (Terraform, Ansible). Demonstrated ability to design clean APIs, modular microservices, and resilient, maintainable backend systems. Clear communicator with the ability to simplify complex AI system behaviors into actionable architecture. Passion for AI and a hunger to build systems that push the boundaries of autonomous software. Strong understanding of Agile software development, CI/CD practices, and collaborative team workflows. What you will bring: BS or MS degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field. A solid foundation in software engineering principles, including system design, data structures, algorithms, and distributed computing. Proven ability to work in a fast-paced, innovation-driven environment where engineers take full ownership from concept to deployment. Experience deploying and operating intelligent systems in production environments with live users and evolving requirements. Curiosity, creativity, and the mindset of a builder — someone who thrives at the intersection of AI research and real-world impact . Desire to help shape the future of software agents by building scalable, reliable, and intelligent backends that unlock new capabilities in autonomy and adaptability. Why we think you will love Teradata: We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. #LI-NT1

Overview: Leading the design, development, and optimization of scalable, high-performance AI/ML platforms, integrating cutting-edge cloud services, and ensuring seamless interaction with front-end applications Responsibilities: Spearhead the development and implementation strategy for backend APIs, focusing on creating scalable, reliable, and high-performance solutions that align with business goals. Oversee the management of Azure Kubernetes Service (AKS) (and similar capability for AWS – EKS) deployments, optimizing container orchestration to ensure seamless application scaling and performance. Oversee management and automation of pipelines related to data storage, data movement and data retrieval for various forms of data (real-time, audit, fast moving messages) as well as formats (structured – SQL storage, unstructured – BLOB storage and Semi-structured – JSON and related format in no-SQL DB) – between edge and cloud and between cloud applications mediated by File, Service/API, Message Bus and bulk-movement options. Direct cloud operations to achieve optimal system performance, security, and cost-efficiency, leveraging Azure cloud services and infrastructure. Champion DevOps practices across the team, promoting automation, continuous integration (CI), and continuous deployment (CD) to enhance operational efficiency. The CI/CD automation should also include deployment strategies and automation for ML components (e.g., MLOps related pipeline building and automation). Desirable to have skills with Github, Ansible, ADO, Terraform and ability to integrate QA tools such as Sonar Cube, Synk etc. Contribute to a robust release management strategy and ensure that the CI/CD pipeline incorporates and aligns with complex, global and local release management strategy. Ensure that test automation, deployment automation (including edge deployments) and observability are integral part of release management and CI/CD pipelines. Facilitate collaboration among cross-functional teams, ensuring the seamless integration of backend services with frontend platforms and other system components. Establish and rigorously monitor service-level objectives (SLOs) and key performance indicators (KPIs) to maintain and improve backend system and cloud infrastructure performance. Lead incident response initiatives and conduct thorough post-incident analyses to identify root causes and implement preventive strategies, ensuring system integrity. Drive continuous improvement efforts, focusing on system efficiency, downtime reduction, and resource optimization. Maintain up-to-date knowledge of the latest backend technologies, Azure services, and DevOps tools, integrating innovative practices into our operations. Cultivate a team culture that values innovation, excellence, and continuous learning, encouraging team development and the adoption of best practices. Qualifications: Bachelor’s or master’s degree in computer science, Engineering, or a closely related field. A minimum of 10 years of experience in backend API development, cloud infrastructure management, particularly Azure and AWS (EKS and AKS) as well as CI/CD automation. Demonstrated proficiency in DevOps methodologies and cloud process management, with a strong technical foundation in Azure cloud services, Kubernetes, and API development with a solid understanding of security, scalability, and high availability in cloud environments. Hands-on experience with CI/CD pipelines, automation tools, and cloud-native technologies involving complex edge deployments and multiple version release management Hands on experience with Blue-Green and Canary deployment (strategy, design and development) and incorporating learnings into release cycle in real-time Proven leadership capabilities in managing complex technical projects and guiding high-performing teams towards achieving operational excellence. Exceptional problem-solving skills and a strategic mindset, capable of addressing technical challenges effectively. Excellent communication and collaboration abilities, with a proven track record of engaging successfully with various stakeholders. A history of driving operational improvements and sustaining high-performance backend systems, demonstrating a commitment to innovation and quality.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior Full Stack Developer Job Description: We are seeking a highly skilled and experienced Senior Full Stack AI Developer to lead the design, development, and implementation of innovative solutions across both Conversational AI and Generative AI domains. The ideal candidate will possess extensive expertise in full-stack development, including Python, data engineering, JavaScript, and strong proficiency in either ReactJS or Angular, coupled with Node.js. A proven track record in leveraging Generative AI for cutting-edge applications and developing sophisticated chatbot solutions is essential. Key Responsibilities: Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frameworks. Develop and integrate complex conversational AI systems and chatbots, focusing on natural language understanding and generation. Design and implement robust backend APIs and data pipelines using Python and Node.js, ensuring high performance and scalability for AI workloads. Develop interactive, intuitive, and user-friendly front-end interfaces using either ReactJS or Angular, ensuring seamless user experiences with AI capabilities. Collaborate with AI Researchers, Data Scientists, and other stakeholders to translate complex AI models and research into deployable, production-ready applications. Write clean, maintainable, and high-quality code, conducting thorough testing, debugging, and refinement to ensure optimal performance and reliability. Stay abreast of the latest advancements and trends in Generative AI, Conversational AI, and full-stack technologies, applying them to enhance our product offerings. Provide technical leadership, mentorship, and conduct comprehensive code reviews for junior developers, fostering a culture of technical excellence. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field. Minimum 6-9 years of progressive experience in full-stack software development, with at least 3-4 years specifically on AI-driven projects (Conversational AI and Generative AI). Demonstrable experience building and deploying Generative AI solutions (e.g., RAG pipelines, fine-tuning LLMs, prompt engineering, using frameworks like LangChain or LlamaIndex). Strong practical experience with conversational AI platforms and developing chatbots. Advanced proficiency in Python for AI/ML development and backend services. Advanced proficiency in JavaScript/TypeScript, with strong, demonstrable experience with either ReactJS or Angular, and server-side programming with Node.js. Proven experience with cloud platforms, preferably Azure (e.g., Azure OpenAI, Azure ML, Azure AI Search, Azure Functions, Azure Web Apps). Solid understanding and experience with database technologies, including both relational databases (e.g., SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cosmos DB, Vector Databases). Experience with API design and development (RESTful APIs). Deep understanding of NLP, ML algorithms, and deep learning techniques relevant to AI applications. Familiarity with data preprocessing, feature engineering, and MLOps practices. Strong problem-solving, analytical, and architectural design skills. Excellent communication, collaboration, and presentation skills for effective interaction with technical and non-technical teams. Experience with Agile development methodologies and proficiency with version control systems (e.g., Git). A strong portfolio demonstrating successful full-stack projects involving Conversational AI and/or Generative AI is highly desirable. Skills: Programming Languages: Python (advanced), JavaScript (advanced), TypeScript (required for Angular). Frontend Frameworks: Strong proficiency in either ReactJS or Angular. Backend Technologies: Node.js (strong proficiency), FastAPI/Flask/Django (Python frameworks). Cloud Platforms: Azure (preferred: Azure OpenAI, Azure ML, Azure Functions, Azure App Services, Azure Blob Storage, Cosmos DB). AI/ML Concepts & Frameworks: Generative AI: LLMs, Transformers, Prompt Engineering, Retrieval-Augmented Generation (RAG). Conversational AI: NLU, NLG, Intent Recognition, Entity Extraction. Libraries/Frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch. Databases: Relational (SQL Server, PostgreSQL), NoSQL (MongoDB, Cosmos DB), Vector Databases (e.g., Pinecone, Azure AI Search/Cognitive Search for vector capabilities). API Development: RESTful APIs, Web Services. Data Engineering: Data pipelines, ETL/ELT concepts for AI data. DevOps & MLOps: CI/CD pipelines, Git, Docker, Kubernetes (familiarity with deployment of AI models). Soft Skills: Leadership, problem-solving, analytical thinking, communication, collaboration, adaptability. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. 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