542 Generative Ai Jobs - Page 17

Role & responsibilities Skilled in Python, SQL/NoSQL, AI/ML fundamentals, Natural Language processing techniques, supervised fine-tuning, unsupervised clustering, regression techniques. develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG Preferred candidate profile Must be 2025 Graduate Only. Must be familiar with LLM -based Retrieval-based pipelines from complex metadata in documents (e.g., free form text, tables and figures), prompting approaches (e.g., React, multimodal-react, thought-prompting etc.) and conversational Human/Assistant dialogues to generate responses that are factually correct and may involve multi-step reasoning

Mandatory Skills Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have skills - Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! About the team The Adobe Express team is building a path-breaking, all-in-one creative application for all platforms - web, desktop, and mobile. This platform combines the power of Adobe's creative technologies with intuitive, AI-enhanced workflows that empower anyone to create standout content quickly and effortlessly. The Opportunity We're looking for a Senior Machine Learning Engineer (Architect) to play a key role in shaping the next generation of AI-powered creative experiences in Adobe Express. This role will build high-impact AI Workflows for Adobe Express in Image editing space. Concentrating on brand new generative AI workflows, including personalized assistants and intelligent creative tools. Speed up AI culture by sharing knowledge, encouraging experimentation, and improving developer efficiency. Experience Requirements: 15+ years of proven experience in hands-on Machine Learning work. As a Machine Learning Engineer, you will: Build and scale advanced ML models to make Image editing easy and seamless for users Develop AI Agents for Adobe Express in Imaging space Partner closely with product, design and engineering teams across Adobe to integrate Adobe's latest generative AI capabilities user-facing features. Help drive a culture of AI innovation and learning through internal knowledge-sharing, best-practice documentation, and experimentation frameworks that boost team productivity. Detailed Responsibilities: Research, design, and implement advanced ML models and scalable pipelines across training, inference, and deployment stages, using techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows-enabling rich, context-aware, dynamic user experiences. Design, implement, and optimize subagent architectures for supporting modular and intelligent assistance across various creative tasks in Adobe Express. Collaborate with multi-functional teams to translate product requirements into ML solutions-especially those related to Harmony GenAI , smart recommendations, and generative tooling. Contribute to the development of internal platforms for model experimentation, A/B testing, performance monitoring, and continuous improvement. Stay up-to-date with evolving ML/GenAI research, tools, and frameworks-including federated learning, retrieval-augmented generation, and optimization for real-time inference. Champion an AI-first culture by mentoring peers, promoting learning opportunities, and encouraging innovation at both technical and organizational levels. Special Skills Requirements: Proficiency in Python for model development and C++ for systems integration. Strong hands-on experience with TensorFlow , PyTorch , and emerging GenAI toolkits. Experience working with LLMs, agent architectures, and user interfaces powered by AI technology. Deep understanding of computer vision and NLP techniques, especially for multimodal AI applications. Adobe is proud to be anemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailor call (408) 536-3015.

Position Overview :We are seeking an experienced Head of Engineering to lead our engineering team. The ideal candidate will have a deep technical background, particularly in AI/ML and Generative AI, and will be hands-on in contributing to the development process. This role will be key in driving the technical vision, architecture, and implementation of our cutting-edge platform. Key Responsibilities : - Lead and manage a team of engineers focused on AI/ML and Generative AI solutions. - Oversee the design, development, and deployment of advanced AI systems for the KonProz GPT platform. - Drive technical innovation and ensure that engineering practices meet the highest standards. - Collaborate with cross-functional teams to ensure technical alignment with business goals. - Stay current with AI/ML trends and incorporate best practices into the platform. - Contribute hands-on coding when necessary and mentor the engineering team. - Lead the engineering team in delivering scalable, secure, and efficient software solutions. - Ensure the product meets legal, tax, and regulatory requirements with in-depth knowledge of these sectors. Qualifications : - 6 to 7 years of hands-on experience in AI/ML, Generative AI, and related technologies. - Proven experience managing engineering teams while remaining technically involved. - Proficiency in Python (must-have). - Familiarity with Java, Go, and R (preferred). - Strong understanding of frontend technologies, particularly Next.js. - Experience with backend technologies, specifically Node.js. - Knowledge of authentication systems like Auth0. - Experience with server and database technologies, especially AWS and Firestore. - Strong understanding of AI/ML frameworks, algorithms, and deployment practices. - Good knowledge of the legal, tax, and regulatory sectors in India. - Bachelor's or Master's degree in Computer Science or a related field. - Strong problem-solving skills and ability to work in a fast-paced environment

Required Skills 7+ years of professional Python development experience Hands-on experience with at least one agent framework (CrewAI, LangChain, LangGraph, or equivalent) Strong understanding of LLM capabilities, limitations, and prompt engineering Experience with RESTful API design and async Python (FastAPI preferred) Knowledge of vector databases and RAG (Retrieval Augmented Generation) systems Familiarity with financial or tax domains Demonstrated leadership in technical decision-making Excellent written and verbal communication skills Nice to Have Experience with AWS services, particularly Lambda and EKS Background in financial services or tax preparation software Knowledge of security and compliance requirements for financial data Previous startup experience, particularly in MVP development

Job Summary Seeking a visionary and strategic leader to join our IT services organization as the Head of App Engineering Practice. This role will oversee our Digital Experience, Cloud & App Engineering, Digital Manufacturing, and Generative AI practices. As the leader of this multidisciplinary practice, you will be responsible for driving innovation, leading the development and delivery of cutting-edge solutions, and aligning technology strategies with business goals. You will play a key role in transforming how our clients leverage technology to enhance their digital footprint, optimize operations, and achieve business outcomes. Key Responsibilities: Strategic Leadership: Define the overall vision, strategy, and roadmap for the App Engineering Practice, encompassing Digital Experience, Cloud & App Engineering, Digital Manufacturing, and Generative AI. Align these strategies with broader business objectives and client needs. Innovation and Thought Leadership : Foster a culture of innovation by staying at the forefront of industry trends and emerging technologies. Lead the development and implementation of innovative solutions that leverage digital experience platforms, cloud-native architectures, digital manufacturing technologies, and generative AI models. Team Management: Build, lead, and mentor a diverse team of engineers, architects, data scientists, and consultants. Drive a culture of excellence, continuous learning, and collaboration across teams. Client Engagement and Solution Delivery: Partner with clients to understand their business challenges and provide strategic guidance on leveraging technology for digital transformation. Oversee the delivery of high-quality, scalable, and secure solutions that exceed client expectations. Practice Development : Establish best practices, frameworks, and standards for each domain within the practice. Drive the adoption of Agile, DevOps, CI/CD, and other modern methodologies to enhance delivery efficiency and quality. Technology Oversight : Provide guidance on the use of modern technologies, including cloud platforms (AWS, Azure, Google Cloud), microservices, containerization (Docker, Kubernetes), digital experience platforms (Adobe, Sitecore), industrial IoT, smart manufacturing, and generative AI (GPT & others). Cross-Functional Collaboration : Collaborate closely with other practice heads, business units, and delivery managers to ensure a seamless and integrated approach to service delivery. Lead initiatives that span multiple practices to drive comprehensive digital transformation for clients. Financial Management : Oversee the practices budget, including resource planning, cost management, and profitability. Monitor financial performance and make data-driven decisions to optimize resources and improve margins. Business Development : Support sales and business development activities by providing expertise during client pitches, RFP responses, and proposals. Identify opportunities for expanding service offerings and increasing market share. Required Skills and Experience Education: Bachelor’s or master’s degree in computer science, Information Technology, Engineering, or a related field. Experience : 20+ years of experience in application engineering, digital transformation, or a related field, with at least 5 years in a senior leadership role. Experience in IT services, consulting, or a similar fast-paced environment is highly preferred. Domain Expertise : In-depth knowledge and experience in Digital Experience platforms, Cloud & App Engineering, Digital Manufacturing, and Generative AI. Proven ability to integrate and deliver solutions across these domains. Leadership Skills : Demonstrated success in leading large, diverse teams and managing complex, multifaceted projects. Strong skills in team development, coaching, and performance management. Technical Proficiency : Deep understanding of modern application development, cloud-native solutions, AI/ML, industrial IoT, and digital experience technologies. Experience with digital manufacturing tools and platforms is a plus. Business Acumen : Strong understanding of business processes and the ability to translate technology solutions into business value. Proven experience in managing budgets and achieving financial targets. Communication and Stakeholder Management : Excellent verbal and written communication skills. Ability to articulate complex technical concepts to diverse stakeholders, including senior executives, clients, and technical teams. Problem-Solving and Decision-Making : Strong analytical skills and the ability to make strategic decisions based on data and insights. Proven track record of successfully addressing complex challenges and driving results. Preferred Qualifications - Certifications in relevant technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, Certified ScrumMaster, AI/ML certifications). Experience with Agile and DevOps practices. Experience in driving large-scale digital transformation initiatives across multiple industries.

Role: ServiceNow Architect Experience Range: 13+ Years Location: Pune Must Have: Minimum 5 mandate details from following 8-10+ years of experience as a Solution consultant/architect in ServiceNow working with Enterprise and Strategic Customers Advanced analytical and problem-solving experience, ability to multi-task and effectively manage priorities. Ability to Develop a comprehensive thought leadership strategy with ServiceNow at the core and aligned with Business objectives and Industry trends Lead discovery workshops to determine customers' challenges and give product demonstrations to align our solution with customer needs. Conduct research to identify topics that resonate with the Customers and thereby develop opportunities Guide customers into deeper adoption of Professional and Enterprise Solutions, helping to reduce backlog and accelerating time to value Answer product feature and technical questions from customers, channel partners and ServiceNow colleagues Good to Have: Minimum 3 mandate details from following ServiceNow in-depth product knowledge is required Excellent communication skills, both written and verbal, ability to work effectively in virtual teams across multiple locations Create detailed technical designs that align with the client's short- and long-term needs and leverage the capabilities of the ServiceNow platform and integrations with third-party technologies effectively. Bring thought-leadership within the practice which can create certainty in the solution when there is client ambiguity, and lead the client to informed architectural sound solutions. Serve as the expert advisor to clients, partners, and project teams, leading solutioning sessions, shared understanding, and building a bridge between disparate organizations through your technical expertise and leadership Essential: Bring thought-leadership within the practice which can create certainty in the solution when there is client ambiguity, and lead the client to informed architectural sound solutions. Serve as the expert advisor to clients, partners, and project teams, leading solutioning sessions, shared understanding, and building a bridge between disparate organizations through your technical expertise and leadership

We are seeking a skilled Generative AI Engineer to join our team and lead the development of innovative AI solutions. Your expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Join us and be part of a dynamic team that is shaping the future of AI. Generative AI Engineer job responsibilities: Expertise in Python development along with AI tools is a must. Should have worked on all the python libraries relevant to AI Complete knowledge on using Open AI and implementation basis the OpenAI libraries is essential. Design and develop algorithms for generative models using deep learning techniques. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. Experience working and implementing solutions using Agentic AI is definitely a plus. Research and stay up to date on the latest advancements in generative AI technologies and methodologies. Optimize and fine-tune generative models for performance and efficiency. Troubleshoot and resolve issues related to generative AI models and implementations. Create and maintain documentation for generative AI models and their applications. Communicate complex technical concepts and findings to non-technical stakeholders. Need to interact with Guidewire developers to integrate the solution with Guidewire. Knowledge on Insurance products such as Guidewire, Duck Creek, Majesco will be an added advantage.

Position Name : Senior Voice AI Developer / Voice AI Architect Experiencev : 5 to 8 yrs Job Type : Permanent Location : Sector-142, Noida Position Summary : We are looking for a dynamic Senior Voice AI Developer / Voice AI Architect to spearhead our AI initiatives, guiding the integration of artificial intelligence into various aspects of our business. You will design AI systems from the ground up, collaborate with multidisciplinary teams to tailor AI solutions to specific business needs, and ensure these solutions are scalable and sustainable. Your expertise will help us harness the power of AI to drive innovation, improve decision-making, and maintain competitive advantage in our industry. Key Responsibilities : - Design, develop, and oversee the implementation of end-to-end AI solution - Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization - Create architectural approaches for AI software and hardware integration - Define AI solution objectives and ensure alignment with business outcomes - Monitor AI industry trends and maintain state-of-the-art industry knowledge - Implement best practices for AI testing, deployment, and maintenance Qualifications : - Candidates should be B.tech/M.tech/MCA (CSE/IT) preferably from premium institutes. - 5+ years of experience in Node.js / javascript / TypeScript - 3+ years of relevant experience in AI Frameworks Mandatory Skills : - Google Dialog flow, Google STT/TTS & Nodejs Node.js: Competent in developing and maintaining applications. GCP Services: Proficient in GCP logs, services, and custom deployment configurations. Dialog flow Expertise: Strong understanding of conversational agent design and integration for Voice Applications. Speech-to-Text & Text-to-Speech: Functional knowledge of speech processing. Functional Knowledge of Audio Streaming/Processing Applications Function Knowledge of Conversational AI Generative AI: Foundational understanding of Gen AI concepts and applications. - Proven understanding of scalable computing systems, microservices architectures, software architecture, data structures, and algorithms - Working with defined processes and policy (e.g. Peer review, test driven development, coding standards and deployment process) - Excellent proven analytical problem solving skills. - Self-motivated high performer and able to perform with minimal supervision, who can lead by example. - Excellent written and verbal communication skills. Good To Have : - Open AI - Real Time API - Exp. in Integration with Azure Open AI - Working Knowledge of Any CCAI Framework/Applications - Audio Intelligence Frameworks - Experience with Back-end technologies like NoSQL, RDBMS, Cache Management - Experience working with AWS Technologies - Lambda, API Gateway, S3 - Agile Development Methodology - Experience to work with geographically distributed teams - Knowledge of any CRM (WFM) will be a bonus, preferably ServiceNOW is a big plus. Benefits : - Flexible Working Hours. - Hybrid Working Style. - Personal Accidental Insurance. - Health Insurance to Self, Spouse and two kids. - 5 days working week.

Role & responsibilities As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes Analyze complex data using statistical and machine learning models to derive actionable insights Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding Ensure model robustness, model generalization, accuracy, testability, and efficiency Write product or system development code Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability. Communicate findings and insights effectively to stakeholders reports and visualizations. Preferred candidate profile A Master's degree in Data Science, Statistics, Computer Science, or a related field. Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn. Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail. Superior communication skills, enabling the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment. Proficiency with Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring. In-depth understanding of Azure services and tools for data integration and orchestration.

Team: Business Intelligence Unit Key focus area: Data Science and Data Analytics Role Overview: We are seeking a highly skilled and motivated individual to join our Business Intelligence Unit (BIU). The ideal candidate will bring strong analytical and technical expertise, coupled with advanced capabilities in Data Science, Machine Learning (ML), Artificial Intelligence (AI), and Generative AI (GenAI). This role involves collaborating with diverse departments such as Risk, Business, Operations, Insurance, and Credit to design and implement data-driven solutions for high-impact business challenges. Key Responsibilities: Utilize programming skills in Python and SQL to analyze large datasets and extract actionable insights Design AI/ML powered solutions tailored to organizational needs like credit risk modelling, fraud detection, customer segmentation etc Collaborate with cross-functional teams to understand business challenges and design data-driven solutions Develop, implement, and optimize data models tailored to solve specific business problems Support decision-making by providing analytical solutions to improve performance across departments including Business, Risk, Credit, Operations, Vigilance etc Ensure data accuracy and integrity by conducting thorough data reviews and implementing quality checks Stay updated with the latest advancements in Data Science, ML, AI, and GenAI to drive innovation across BIU projects Education: Mandatory: Bachelors of minimum three years Optional: Post-graduation, certification, or equivalent in Data Science, Statistics, MBA etc Technical Skills: Proficiency in Python and SQL Good understanding of ML concepts and its popular algorithms- Linear Regression, Logistic Regression, Xgboost, DT, and Random Forest Expertise in Advanced Excel for data modeling and analytics Presentation Skills: Excellent ability to communicate business findings in a clear and concise manner to both technical and non-technical stakeholders

We are seeking a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to solve complex business problems, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. Mandatory Technical Skills: • Strong statistical and machine learning intuition to address new and unique challenges. • Ability to design, develop and deploy end-to-end data science solutions, POCs and production-grade applications. • Strong proficiency in Python with OOP principles - ( 4 years of experience) • Experience developing APIs using Flask or Fast API frameworks ( 2 years of experience) • Integration knowledge with front-end applications ( 1 year of experience) • Expertise in version control systems (e.g., GitHub, GitLab, Azure DevOps) - ( 3 years of experience) • Familiarity with task management tools (e.g., Jira, Azure DevOps) - ( 2 years of experience) • Proficiency in databases, including SQL, NoSQL and vector databases ( 2 + years of experience) • Working knowledge of ML pipelines and CI/CD. • Experience with at least one of the cloud platforms (Azure, AWS, GCP) - ( 2 + years of experience) Core Excellence Areas (CEA): Candidates must have a strong understanding of fundamentals and good hands-on expertise in at least THREE of the following areas (mention your areas while applying): NLP Generative AI (NLP) Computer Vision Time Series Forecasting Recommendation Systems and Optimization Roles & Responsibilities: • Advanced AI/ML/Gen AI Implementation: o Leverage advanced AI and machine learning techniques to address complex business challenges. o Design, develop, and deliver innovative data science solutions. • Architectural Design: o Develop end-to-end generative AI solutions. o Build scalable architectures for AI/ML models and applications. • Team Leadership: o Lead and mentor a team of data scientists, fostering professional growth and technical excellence. o Provide strategic and technical guidance to ensure the team delivers high-quality projects. • Cross-functional Collaboration: o Work closely with data engineering, product, and business teams to align on objectives and integrate solutions. • Client Engagement : Maintain high levels of client satisfaction through excellent communication, delivering impactful solutions, and building strong relationships. • Innovation: Ideate and implement new approaches for products and solutions, ensuring they stay at the forefront of technology. Nice to have Skills: • Hands-on experience with PySpark, large-scale data processing using distributed frameworks and parallel processing. • Hands-on experience with Azure AI stack, ETL processes, and integration with analytics tools (e.g., Power BI, Tableau) • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). • Experience with cloud platforms and MLOps practices. • Project management skills to lead initiatives effectively. • Knowledge of graph-based query languages (e.g., Cypher, Gremlin) and Proficiency in graph databases. Experience & Educational Qualifications: • Minimum of 5+ years of experience solving complex machine learning problems. • At least 2+ years of hands-on experience in each of the chosen Core Excellence Areas. • Minimum of 1 year leading and managing ML projects end-to-end. • Bachelors degree in computer science, Data Science, or related field (Master’s/PG AI/ML/DS preferred).

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

Experienced Dialogflow CX & Generative AI candidate to design, develop, and optimize AI-driven conversational solutions. The ideal candidate will have expertise in Dialogflow CX, Conversational AI, and Generative AI technologies. Required Skills & Qualifications: Hands-on experience with Dialogflow CX and Conversational AI platforms. Strong knowledge of NLP, AI, and ML techniques. Experience working with Generative AI models (e.g., Vertex.ai, Gemini , GPT, BERT, etc.). Proficiency in Google Cloud, Python, APIs, and AI-driven automation. Ability to design complex conversational workflows with intents, contexts, and entities. Experience integrating AI chatbots with various platforms and third-party services. Key Responsibilities: Develop and optimize chatbot/voicebot solutions using Google Dialogflow CX. Design conversational flows with advanced NLP techniques for natural and effective communication. Integrate Generative AI models to enhance the chatbot's ability to generate human-like responses. Fine-tune AI models for accuracy, efficiency, and improved user experience. Collaborate with cross-functional teams to ensure smooth implementation and functionality. Monitor, analyze, and improve chatbot/voicebot performance using data insights and user feedback. Stay updated with the latest advancements in Conversational AI & GenAI technologies.

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development Should have hands on experience in Agentic AI Ability to diagnose accuracy drops in Retrieval-Augmented Generation (RAG) systems A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. Preferred candidate profile Immediate - 15days

One of my clients (A Public listed company) looking to hire a Technical Architect for their team. Desired Candidate Profile Experience working with Generative AI models such as GPT-3 or AL language models like BERT etc. . Strong understanding of Artificial Intelligence (AI), Machine Learning (ML), Healthcare domain knowledge. 12-22 years of experience as a Technical Architect or similar role.

AI agent, GenAI , Python/ GenAI Services(Someone moved from AI/ML to GenAI and Agentic AI Skills

Department/ Group : Advanced Rail Technology Job Description, duties & responsibilities Progress Rails data science team is looking for a motivated and talented Data Scientist who will primarily focus on developing Machine Learning/Artificial Intelligence based data models for condition-based monitoring of its assets. In this role, the candidate will contribute to the design, development and deployment of world class rail products and services vital to our customers needs. Reporting to the Director of Data Science, this role will enable innovative, strategic, and high-tech solutions for the rail industry through the application of specialized knowledge, skills, and abilities. Work involves independent judgement, problem solving skills, resourcefulness, teamwork, and creativity in ambiguous situations. A high degree of personal initiative is a prerequisite. Typical data science team efforts are a combination of some, or all the key job elements listed below. The ideal candidate is an experienced self-starter, strong attention to details, with excellent written and verbal skills. Enjoys working in a collaborative, fast-paced, environment and is willing to take on roles outside of comfort zone. Technical aptitude and being well versed in Machine Learning and Data Science tools and processes is a must. The role will work closely with the different engineering teams. Key Job Elements Contribute to the design, development, testing, and deployment of software systems and applications. Processing, cleansing, and verifying the integrity of data used for analysis. Apply Machine Learning and other advanced analytical techniques to develop models for condition-based monitoring of locomotive systems. Apply Natural Language Processing (NLP) and Large Language Model (LLM) to support text mining, document summarization and others. Understand the business needs and develop data-based solutions. Doing ad-hoc analysis and presenting results in a clear manner Supporting field reported issue resolution through data analysis System integration of Machine Learning models Mentor and assist data scientists providing technical assistance and direction as needed Technical Skill Experienced Data Scientist with 7+ years experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning and Data Visualization. Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining, and reporting solutions that scale across a massive volume of structured and unstructured data. Proficiency in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization. Expertise in applying Machine Learning algorithms (such as Regression Models, XGBoost, Neural Network, and others) for predictive analytics. Experience in Generative AI developing LLM based solutions for document search/summarization using RAG architecture. Expertise in applied statistics skills, such as distributions, statistical testing, regression, etc. Strong experience with Python, SQL, and R. Experience and knowledge of AWS cloud which includes Machine Learning related services, S3, Elastic search, Lambda, and others. Experience in integrating Machine Learning models into larger deployed systems. Proficiency in data visualization tools such as PowerBI, Python Matplotlib, R Shiny to create visually powerful and actionable interactive reports and dashboards. Experience in Natural Language Processing and Text Mining. Strong business sense and abilities to communicate data insights to both technical and non-technical clients. Competent to perform all job duties without close supervision. Desired : Rail industry experience Experience in developing models using telematics (sensor) data from equipment such as engines, machines, and others. Qualifications and Education Requirements B.S, M.S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree. 7+ years of data science experience with B.S., or 5+ years of experience with Advanced degrees 7+ years of experience with Python, R, SQL, and relational data bases

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Position Title Sr D&T Analyst, Supply Chain Function/Group Digital & Technology Location Mumbai Shift Timing 11 AM To 8 PM Role Reports to D&T Manager Supply Chain Remote/Hybrid/in-Office Hybrid ABOUT GENERAL MILLS We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story t o tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS). For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the Work with Heart philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Purpose of the role This is an exciting time to work in General Mills Solutions Delivery organization! We are accelerating Digital Transformation of our Supply Chain operations to provide a competitive advantage to our business. To achieve this, we are looking for a Sr D&T Analyst, with a passion for business process automation through advanced technology, to join our Supply Chain Sourcing Solutions Delivery team. The Sourcing D&T team partners with business to provide consultation & deliver robust technical solutions. We leverage tools like SAP, TriplePoint, Coupa, Palantir etc. & other legacy custom applications to support our Supply Chain Operations, creating a faster path to activating GMI's Digital Supply Chain goal. Below are the key objectives for this role. . Run, Operate & Transform Supply Chain systems . Provide Technical consult on systems supporting esp. Sourcing & External Supply Chain (ESC) process . Champion/shepherd for all things within Supply Chain Sourcing & ESC (inclusive of data, process, & enhancements) KEY ACCOUNTABILITIES . Drive projects along Supply Chain business processes deep knowledge and working experience into Sourcing and External Supply Chain Management . Serve as the technical SME on technology for GMI Sup ply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. . Work as an SME to define project requirements in collaboration with internal business clients/users Establish best in industry practices for sourcing tools and eliminate gaps via partnership with D&T architects communicate throughout the entire development process. . Partner in developing new capabilities that leverage the Cloud /SAAS platforms. . Work with a leadership mindset to own Sourcing / External Supply Chain Management processes . Use external perspective and internal relationships to improve how we work and what we deliver - keep abreast of what is happening within the Digital sourcing space. MINIMUM QUALIFICATIONS Education - Full time graduation from an accredited university. Full time Bachelor's/master's degree in computer science/electronics, or any equivalent relevant discipline is preferred (Mandatory- Note: This is the minimum education criteria which cannot be altered) 10+ years of strong technical experience with Web based/ Cloud & Database technologies 5+ years of as Functional and Technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong Functional knowledge of Sourcing / Supply Chain processes especially in Global CPG/ FMCG industry Strong working knowledge of various Sourcing/ Procurement related tools & platforms, preferably SAP, Coupa, GCP Working knowledge of Generative AI/Intelligent Automation in Sourcing / Contract insights Strong verbal and written communication skills Solution oriented mindset with strong problem-solving & analytical skills Experience of leading & driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience with Supply Chain /ESC External Supply Chain Procurement/Finance transformation - tools, platforms, process etc. Experience with real time system/data integrations, ETL & reporting technologies Excellent stakeholder management skills including leadership & vendors. Team player, self-driven individual. Ability to deal with ambiguous ask & situations Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: SQL , ETL tech, Sourcing / External Supply Chain Processes, Problem Solving Intermediate: Data Lake / Warehousing, Analytical / Data Skills, Generative AI /Intelligent Automation, GCP-Bigquery Basic: Cloud, Tableau / Google Data Studio, SAP MM, DevOps CI/CD

Job Description We are seeking a QA professional with strong healthcare or insurance domain experience to test IT applications. The ideal candidate will have 5+ years of testing experience , including the use of AI technologies (Agentic and Generative AI), along with Azure cloud exposure. The role requires flexibility to work semi-London hours to coordinate with UK-based teams. Key Responsibilities Plan, design, and execute test strategies and test cases for complex IT applications in healthcare or insurance domains . Perform functional, integration, system, and UAT testing , ensuring quality and regulatory compliance. Collaborate with development, product, and business teams to validate functionality and performance. Utilize AI technologies (Agentic and Generative AI) to enhance testing methodologies and automation. Work with Azure for cloud-based testing deployments and environment management. Adapt to semi-London hours (late start times) for effective collaboration with UK teams. Must-Have Skills & Experience Testing background : Minimum 5+ years of IT application testing experience (functional, system, UAT). Domain knowledge : Experience of healthcare or insurance domain applications . AI knowledge : Experience with Agentic AI (autonomous agents) and Generative AI technologies applied to testing. Cloud skills : Experience with Azure (cloud deployments, environment management). Work hours : Must be comfortable with semi-London hours (late start to match UK teams).

Responsibilities: Business Analysis: Requirements Management: Expertly manage and prioritize business requirements, serving as the critical liaison between operations and technology teams to ensure alignment and successful project delivery. Process Analysis and Improvement: Conduct in-depth analysis of existing processes, tools, and workflows. Clearly articulate AS-IS and TO-BE states, identifying pain points and opportunities for optimization. Propose innovative solutions leveraging intelligent automation and low-code platforms. Documentation: Create comprehensive, clear, and actionable business requirement documents, user stories, and functional specifications that effectively communicate stakeholder needs to technical teams. Technical Collaboration: Work closely with developers, architects, and other IT professionals to ensure proposed solutions meet business needs while adhering to technical best practices and standards. Quality Assurance: Actively participate in and support System Integration Testing (SIT) and User Acceptance Testing (UAT), ensuring solutions meet defined requirements and quality standards. Innovation Leadership: Drive process improvements and spearhead innovation initiatives, particularly in the realms of intelligent automation and low-code solutions. Stay abreast of emerging trends and technologies in these areas. Stakeholder Management: Demonstrate excellent communication skills in managing stakeholders at all levels. Effectively coordinate and oversee day-to-day project activities, ensuring timely delivery and stakeholder satisfaction. Continuous Learning: Exhibit a strong commitment to professional development. Proactively learn and adapt to emerging automation trends, technologies, and methodologies relevant to business analysis and process improvement. Problem-Solving: Apply critical thinking and analytical skills to complex business challenges, developing creative and effective solutions that drive organizational efficiency and growth. Agile Methodologies: Possess a solid understanding of Agile methodologies and the ability to work effectively in fast-paced, iterative environments. Product Management: Product Lifecycle Management: Demonstrate expertise in managing the entire lifecycle of SaaS products, from conception and development to launch, growth, and optimization. Develop and execute product roadmaps that align with business objectives and market demands. Market Research and Analysis: Conduct thorough, independent market research to identify products that address specific use cases. Collaborate effectively with internal teams (such as JLL Technology) to understand diverse needs across the organization. Synthesize findings to inform product strategy and decision-making. Product Evaluation and Selection: Utilize a structured approach to evaluate and select appropriate products and vendors. Develop and apply robust criteria for assessment, considering factors such as functionality, scalability, integration capabilities, cost-effectiveness, and alignment with organizational goals. Proof of Concept (POC) Management: Design, execute, and evaluate Proof of Concept trials for selected products or vendors. Develop clear success criteria, coordinate cross-functional teams, and analyze results to make data-driven recommendations. Cross-functional Collaboration: Successfully navigate the product onboarding process by working closely with IT, legal, and procurement teams. Ensure all necessary due diligence, compliance checks, and integration requirements are met. Adoption and Support Strategy: Develop and implement effective strategies for product adoption across the organization. Oversee production support processes, ensuring high levels of user satisfaction and product performance. Manage license allocation and optimization to maximize ROI. Vendor Relationship Management: Build and maintain strong relationships with vendors. Negotiate contracts, manage SLAs, and drive continuous improvement in product offerings and support. Data-Driven Decision Making: Utilize analytics and user feedback to inform product decisions, prioritize features, and drive continuous improvement. Develop KPIs and metrics to measure product success and user satisfaction. Innovation Leadership: Stay abreast of emerging technologies and industry trends. Proactively identify opportunities for innovation within the product portfolio to maintain competitive advantage. Change Management: Design and implement strategies to ensure successful adoption of new technologies and processes. Sounds like you To apply, you need to have: Education & Experience: Bachelor's degree in a technical field (e.g., Engineering, Computer Science) with relevant work experience. 8 - 10 years of experience as a Business Analyst, Configurator, or Product Manager in automation projects. Proficiency in requirement management tools and low-code platforms. Strong understanding of SaaS product management principles. Excellent communication, problem-solving, and leadership skills. Proven experience in vendor management and stakeholder engagement. Technical Expertise: Hands-on experience with low-code solutions - Power Platform or Mendix or any other similar product. Exposure to Generative AI and Agentic products in the industry. Familiarity with agile methodologies and DevOps practices. Proficiency in Python, SQL, or VBA is a significant advantage. Ideal Candidate Attributes: Strategic thinker with a keen eye for innovation and process improvement. Self-motivated problem-solver comfortable with ambiguity. Collaborative team player with strong interpersonal skills. Adaptable and quick learner in a fast-paced technology environment. Passionate about staying current with emerging technologies and industry trends. Strong analytical and problem-solving skills. Excellent communication, collaboration, and interpersonal skills with diverse audiences (technical and non-technical). Certifications (Good to have): CBAP, Product Owner, Power Platform or Mendix certifications.

Role & responsibilities • Provide expert consultancy and guidance for AI and cyber security, with a focus on implementing robust security measures. • Advise on the deployment of security guardrails for Generative AI applications. • Advise on AI ethics and ensure compliance with industry standards. • Conduct risk assessments and provide recommendations on improving security posture. • Collaborate with cross-functional teams to integrate AI security solutions. • Deliver training sessions on AI security best practices and tools. • Assist in the development of security policies and procedures. • Stay updated with the latest trends and advancements in AI and cyber security. Preferred candidate profile • Minimum 3 years of experience in AI consultancy or 5-10 years in DEVSECOPS. • Proven track record in cyber consultancy. • AIGP or similar certification. • Cloud security certifications are mandatory. • Certified AI security engineer or proven experience in AI security. • Strong understanding of AI ethics. • Experience in deploying security measures for Generative AI. • Relevant technical and non-technical certifications/memberships in cyber security. • Experience in AI within financial services, particularly corporate banking. • Excellent communication and teamwork skills. • Trainer skillsets.

ROLE: The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide. In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way along our vision of human-centered technology. You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working in close cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter. You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g. On-parametric knowledge retrieval and tool access, testing, etc. You will build products/services based on both cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers. You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others. You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry. Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded. SKILLS AND QUALIFICATIONS Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 8+ years of experience in Data Science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter Ideally extensive experience in building scaling products based on Generative AI technologies Solid experience in software development, open source programming languages Strong knowledge of cloud technologies like AWS, Azure etc. Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders Extensive and long term experience inmulti-cultural environments Excellent communication skills in leading AI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management Strong community engagement in opensource is highly appreciated Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation. Results Driven -confident, thrives on hard work and consistent challenge, and is quick on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques) Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts Fluency in English is a must. Technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome

Position: Architect AI & ML Experience- 8+ Years Job Location- Pune We are seeking a dynamic and experienced leader to drive the growth of our AI practice with a focus on Generative AI, advanced NLP solutions, and Large Language Models (LLMs). This role is ideal for a seasoned professional who combines technical expertise with exceptional leadership skills, customer-facing experience, and a vision for scaling teams and capabilities. Skills & Qualifications Technical Expertise: Extensive experience with NLP techniques and multi-class/multi-label text classification. Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma). Proficiency in PyTorch, Hugging Face, LangChain, Haystack, and related frameworks. Strong knowledge of model orchestration tools like MLFlow or KubeFlow. Familiarity with RAG techniques and vector stores (e.g., Pinecone, ChromaDB). Strategic Mindset: Visionary thinking with the ability to translate emerging AI trends into actionable business strategies. Good to have: Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models. Key Responsibilities Leadership & Growth: Lead, mentor, and grow a high-performing AI team, fostering innovation and collaboration. Develop and execute strategies to expand the practice and deliver measurable business value to clients. Customer Engagement: Serve as a confident and articulate interface with clients, ensuring clear communication of AI strategies, solutions, and outcomes. Build trusted partnerships with clients, understanding their needs and aligning solutions to their goals. AI Solution Development: Design and implement state-of-the-art NLP solutions, focusing on multi-class and multi-label text classification. Fine-tune and deploy private LLMs (e.g., LLaMA, Gemma) for tailored business applications. Develop Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases like Pinecone or ChromaDB for high-performance solutions. Operational Excellence: Oversee end-to-end model lifecycle management, including training, deployment, and monitoring. Integrate explainability into AI models, ensuring transparency and trust in decision-making. Collaborate with external LLM providers (e.g., OpenAI, Claude) to enhance and integrate AI capabilities. Leadership & Communication: Proven ability to lead and inspire teams, with a track record of scaling AI practices. Exceptional communication and presentation skills, capable of engaging diverse stakeholders confidently. Additional Skills Experience with multi-modal AI models (e.g., image-text, text-audio models). Expertise in Databricks for scalable model development and deployment. Knowledge of Explainability AI tools (e.g., Captum) for interpretable models.

Role & responsibilities Mandatory: 1-7 years of experience in roles involving cloud platforms, data science, Python development, and experience with GenAI models . Proven track record of designing and deploying scalable cloud-based data solutions and delivering impactful AI/ML and GenAI models. Preferred candidate profile 2-5 years of hands-on experience in the development and deployment of Machine Learning (ML) projects. Exposure to Computer Vision and Natural Language Processing (NLP), especially Large Language Models (LLMs), will be a significant advantage. Drive innovation: Explore, experiment with, and integrate cutting-edge ML techniques and frameworks into projects. Experience in Computer Vision, NLP, and LLMs in production environment will be a plus. Exposure to data volume extremes (high volume, constrained volume) will be a plus. Document workflows, methodologies, and findings for both technical and non-technical stakeholders.