525 Generative Ai Jobs - Page 16

Job Title: AI Developer Supply Chain Management Location: Permanent Remote Job Type: Full-time Team: Product AI Engineering We are looking for a talented LLM Developer to join our AI Engineering team and contribute to the development of the SCM Expert AI Agent the core brain behind AI capabilities like demand forecasting, anomaly detection, ETA prediction, and route optimization in the FarmToPlate (F2P) platform. In this role, you will focus on integrating and optimizing LLM-based agentic architectures using frameworks like LangChain, CrewAI, and RAG pipelines. Youll work closely with traditional ML developers and backend engineers to deploy intelligent, explainable, and real-time decision agents for supply chain management. Responsibilities: Design, build, and optimize LLM-based agents using LangChain, CrewAI, or custom wrappers. Implement RAG pipelines with vector stores (e.g., FAISS, ChromaDB) and embedding models. Develop LLM-powered tools for demand forecasting, query understanding, anomaly explanations, and summarization. Integrate agents with internal and external data sources using tools like MongoDB, Sklearn datasets, or Browsing Agents. Implement prompt engineering, agent memory, and context-chaining for more dynamic agent behavior. Collaborate with data science and product teams to translate SCM logic into agentic workflows. Expose models and agents through APIs using FastAPI, including role-based access if needed. Optimize runtime performance with quantization, PEFT (parameter-efficient finetuning), and model caching. Track experiments, versions, and deployment artifacts using tools like MLflow, SageMaker, or custom registries. Requirements: 3-5 years of experience working on Python-based AI systems. Strong understanding of LLMs, Transformers, Prompt Engineering, and conversational AI. Hands-on experience with LangChain, CrewAI, OpenAI/GPT APIs, or Hugging Face Transformers. Familiarity with RAG concepts, vector databases (FAISS, Chroma), and embedding techniques. Good knowledge of API frameworks (FastAPI/Flask) and working with JSON schema-driven inputs. Basic understanding of traditional ML models and workflows (e.g., regression, classification, anomaly detection). Comfortable integrating external data tools and APIs into LLM pipelines. Bonus Points For Experience building Agentic RAG systems that combine logic, tools, memory, and models. Knowledge of Open Source LLM tuning using PEFT, LoRA, bitsandbytes, Unsloth, etc. Familiarity with SageMaker, EKS, or deploying custom models to the cloud. Experience in supply chain/logistics, or working with ERP/SCM structured data. Built monitoring dashboards using Evidently.ai or similar model observability tools. Why Join Us Be part of a domain-driven AI platform blending supply chain expertise with modern agentic LLM architectures. Work on real-world use cases that impact farm-to-plate food systems at scale. Collaborate with a fast-moving, cross-functional team that values innovation, ownership, and outcome. Learn and grow in a modular, full-stack AI environment where your ideas become deployed APIs. Enjoy flexibility in remote, experimentation, and continuous learning.

Job Description: Head of Center of Excellence for Artificial Intelligence At Jiobp, we believe Digital solutions and platforms are at the core of our customer experience, operational reliability, competitive differentiation and growth. At the core of our Digital strategy is setting up a Center of Excellence (CoE) for Artificial Intelligence. We are seeking an experienced Head of Center of Excellence (CoE) for Artificial Intelligence at Jiobp. The AI CoE Head will be expected to set up a CoE from scratch , including creating a vision , roadmap for AI adoption at scale, hiring required talent , mobilize the right technology platforms, drive identification of AI use cases , develop & deploy AI models and drive competency development of AI at scale within Jiobp. Additionally, he is expected to develop a network of partners in this space and drive innovation at scale by collaborating with other teams both within and outside the company. Experience: Around 14 + Years of experience of which last 7 -10 years have been in AI and Analytics Should have done AI Vision and Roadmap for a client or a company, Program management, Stakeholder management, Value realization. Most likely should have been a Data Scientist at some point of his/her career. Must have worked in executing AI use cases end to end including understanding of Business case, Architecture, Data Engineering, AI Model development, model, refinement and value realization. Should understand the various roles that are needed to run an AI CoE. Good to have consulting experience from BIG 4 or any other Tier 1 company in the related field. Strong Retail/ Consumer industry driven business knowledge and also AI use cases in this domain will be an advantage. Key Responsibilities: Set up the AI CoE including building the team from scratch, set up processes and methods for executing AI Use cases. Work with the CDO and advise him on emerging trends by exploring research papers, working with start-ups, develop key partnerships and applying cutting-edge technologies to create innovative solutions. Work with the CDO and create a compelling vision and multiyear AI Roadmap for Jiobp. Ensure use cases are identified in consultation with business, play a key role by educating the business on new possibilities using AI. Overall manage the AI Agenda for Jiobp to develop, enhance, and implement algorithms and models to address complex business challenges. Collaborate closely with project teams, customer stakeholders, and internal business units to devise creative analytical approaches for solving both technical and business challenges. Guide the team on complex use cases and solutions. Ensure clear and effective communication by producing high-quality documentation and presentations. Required Skills and Qualifications: Strong proficiency in deep learning techniques, neural networks, and machine learning algorithms. Good understanding of Image and Video Analytics, conversational AI and Generative AI. Experience in applying deep learning to structured and unstructured data for solving real-world challenges. Expertise in deploying and optimizing machine learning and deep learning models in production environments. Excellent written and verbal communication skills for technical documentation, reports, and client presentations. Educational background B Tech/ MCA B Tech + M Tech M.Stat/B.Stat M.Sc Mathematics / M. Sc Physics

• Collaborate with cross-functional teams and stakeholders to understand business requirements and align AI solutions with objectives. • Design, develop, and deploy machine learning models and algorithms, including LLM-based solutions and fine-tuning. • Conduct data analysis and preprocessing to ensure high-quality input for AI models. • Evaluate and optimize AI system performance, including monitoring for model drift. • Stay updated on emerging AI technologies and assess their potential business applications. • Provide technical leadership and mentorship to team members on AI/ML best practices. • Communicate findings and insights to stakeholders effectively. • Participate in project planning, estimation, and execution. • Develop and optimize RAG architecture using Vector DB or Knowledge Graph. • Engineer robust ML pipelines and infrastructure using on-premises/cloud tools.

Collaborate with cross-functional teams and stakeholders to understand business requirements and align AI solutions with objectives. • Design, develop, and deploy machine learning models and algorithms, including LLM- based solutions and fine-tuning. • Conduct data analysis and preprocessing to ensure high-quality input for AI models. • Evaluate and optimize AI system performance, including monitoring for model drift. • Stay updated on emerging AI technologies and assess their potential business applications. • Communicate findings and insights to stakeholders effectively. • Develop and optimize RAG architecture using Vector DB or Knowledge Graph. • Engineer robust ML pipelines and infrastructure using on-premises/cloud tools. • Establish CI/CD practices and automated testing frameworks for AI systems.

Role Overview As a Project Coordinator, you will oversee IT and mobile app development projects, ensuring timely delivery, smooth client interactions, and effective team coordination This role requires strong project management skills, technical understanding, and proactive problem-solving to keep projects aligned with scope and deadlines. Key Responsibilities Project Management & Coordination Oversee end-to-end project execution from planning to delivery. Develop project plans, timelines, and resource allocation schedules. Monitor progress, identify risks, and resolve bottlenecks. Ensure projects meet scope, deadlines, and quality standards. Client & Stakeholder Management Act as the primary contact for clients, managing expectations. Conduct regular status meetings and provide transparent reporting. Convert client needs into clear, actionable tasks for developers. Team Collaboration & Leadership Coordinate with developers, designers, and testers to maintain workflow. Ensure smooth collaboration between on-site and remote teams. Assign tasks, track progress, and maintain accountability. Technical Understanding & Process Optimization Possess a technical grasp of React.js, Node.js, React Native, Generative AI, Blockchain, Shopify, and WordPress. Identify technical challenges and work with developers to find solutions. Implement Agile and Scrum best practices to optimize project workflows. Required Key Skills & Qualifications 2-3 years of project coordination/management experience in IT/software development. Strong understanding of React.js, Node.js, React Native, Generative AI, Blockchain, Shopify, WordPress, and mobile app development. Expertise in Agile methodologies and project management tools (Jira, Trello, Asana, ClickUp,Basecamp etc.). Solid grasp of project planning, risk management, resource allocation, and stakeholder communication. Strong analytical, organizational, and problem-solving abilities. Excellent verbal and written communication skills. Preferred PMP or CAPM Certification is a plus. Experience working in Agile/Scrum teams. Prior experience leading development teams.

Must Have: Experience in handling Clients and Stakeholder interactions. Well versed with CSV and GxP process and ability to adopt to client Process, systems and documentation needs like Test Protocol, Test Plan, Test Strategy, IQ/OQ/PQ scripts, RTM, Test Summary Report etc., Understanding of various SDLC methodologies(Agile, Waterfall, V) Flexibility to Work as per Customer timings Generate Automation Test Strategy for applications deployed on Cloud. ( Public and Private cloud) Automate scripts using a given Selenium-based framework, Serenity based BDD framework or any open-source tools. Working experience in testing Restful Webservices and APIs using frameworks or tools like POSTMAN, Rest API, etc. Analyze requirements, perform impact analysis, and regression analysis, and communicate with stakeholders on the need for changes in requirements. Perform Risk Analysis of Project & automation deliverables and work towards mitigation plans. Good experience with various testing types like Functional, Regression, UI/ Usability, Integration testing, etc., Hands-on experience using ADO or any test management tools. Good to Have: Experience in Programming or scripting languages (Java/JS etc.,). Experience in designing automation frameworks (POM, Cucumber BDD, etc.,.). Experience working on CAPAS, Incident Management, FMEA Risk Assessment, Functional Risk Assessment etc., Experience with Vulnerability testing (VAPT). Knowledge of Performance testing using Jmeter or any open-source tools. Idea on Generative AI for testing. An idea of estimation techniques for Automation testing efforts (Design and Execution). Experience in testing and test planning of CI/CD-based solutions through tools like Azure DevOps.

Customize Llama or leverage OpenAI to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

We are seeking a hands-on, forward-thinking Machine Learning Technical Lead with deep expertise in traditional ML, NLP, Generative AI, and causal inference, and a strong understanding of multimodal large language models (LLMs) capable of processing both image and text data. The ideal candidate will lead the development, scaling, and evaluation of cutting-edge AI systems that deliver high business value from complex, high-volume datasets. This role involves team leadership, cloud-native ML deployment (AWS/Azure), statistical rigor, and clear communication of AI-driven insights to both technical and non-technical stake holders Key Responsibilities: Lead the design, development, and deployment of machine learning systems covering: Predictive modelling NLP tasks: NER, summarization, classification Generative AI: LLMs with prompt engineering and fine-tuning Causal inference and impact evaluation Multimodal modelling using vision-language models (e.g., CLIP, BLIP, GPT-4V) for use cases that involve image and text inputs Build and scale models that support impact evaluation, uplift modelling, and causal inference, using frameworks like Do Why, EconML, or CausalNex. Collaborate with stakeholders to define, quantify, and evaluate the causal impact of product interventions, policy changes, or ML-driven decisions. Architect scalable ML pipelines on AWS or Azure, handling high-throughput, multi-source data ingestion and model orchestration. Guide the integration of LLMs and prompt engineering into business workflows (e.g., classification, summarization, generative reasoning). Conduct deep exploratory data analysis (EDA) using statistical techniques: hypothesis testing, correlation analysis, regression diagnostics. Ensure robust MLOps practices including CI/CD, automated retraining, performance monitoring, and rollback strategies. Present AI findings, impact estimates, and strategic implications to technical peers, executives, and cross-functional partners. Mentor and manage a team of data scientists and ML engineers, fostering best practices and continuous innovation. Required Skills and Qualifications: Bachelors or Master’s in Computer Science, Statistics, Data Science, or related quantitative field. 6+ years of experience in AI/ML development, with 2+ years in a technical leadership capacity. Hands-on experience with: Predictive modelling (e.g., regression, XGBoost, tree-based models) NLP systems (e.g., NER, summarization, classification) Generative AI models (e.g., GPT, LLaMA) and prompt engineering Causal inference frameworks (e.g., DoWhy, EconML, Pyro) Strong statistical foundation with expertise in experimental design, counterfactual analysis, and impact evaluation. Proficiency in Python, PySpark, and libraries like scikit-learn, Hugging Face Transformers, and REST framework Candidate must be in Chennai or in the nearby districts, or in the nearby states of Kerala, Karnataka and willing to relocate to Chennai

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