AI / ML Specialist in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
Combining a flexible, intelligent platform with end-to-end payments capabilities and services developed through its deep industry experience, NCR Voyix empowers retailers and restaurants to accelerate new possibilities for their operations, experiences and business outcomes. NCR Voyix is headquartered in Atlanta, Georgia, and serves customers in more than 35 countries worldwide.
Job Title: Data Scientist – Azure Generative AI (GenAI)
We are seeking a highly skilled and innovative Data Scientist with hands-on experience in Azure AI services , particularly Azure OpenAI and Generative AI technologies . The ideal candidate will have a strong foundation in machine learning, natural language processing (NLP), and cloud-based AI solutions. You will be responsible for designing, developing, and deploying intelligent solutions that leverage large language models (LLMs) and generative AI capabilities to solve complex business problems.
Design and implement machine learning and generative AI models using Azure OpenAI and related services.
Develop and fine-tune LLM-based solutions for tasks such as summarization, classification, Q&A, and content generation.
Collaborate with cross-functional teams to understand business requirements and translate them into AI-driven solutions.
Build and deploy scalable AI pipelines using Azure Machine Learning, Azure Databricks, and other Azure services.
Evaluate model performance, conduct A/B testing, and optimize for accuracy, latency, and cost.
Stay updated with the latest advancements in GenAI, LLMs, and Azure AI ecosystem.
Ensure responsible AI practices, including fairness, transparency, and data privacy.
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
3+ years of experience in data science or machine learning roles.
Proven experience with Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services.
Strong programming skills in Python and experience with ML libraries (e.g., Experience with NLP techniques and working with LLMs (e.g., Familiarity with prompt engineering, fine-tuning, and model deployment on Azure.
Experience with vector databases (e.g., Azure AI Search, FAISS).
MLflow, Azure DevOps).
Experience with data visualization tools (e.g., Power BI).
Certifications in Azure AI or Data Science.
All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility.
... years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps). - 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). - Strong ...
... science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based systems Strong programming skills in Python Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.) Hands-on experience ...
... generation of synthetic data. Design and develop backend services using Python or .NET to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services ...
... cloud environments. Integrate GenAI APIs (OpenAI, Anthropic, Google Cloud GenAI, Azure OpenAI) into enterprise applications and co-pilot solutions. Establish MLOps best practices for observability, reproducibility, and secure deployment of GenAI workloads. Stay updated on GenAI research , tools, and cloud advancements ...
... degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques. Develop AI-driven ...
... secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills:- 7+ years of professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative ...
... provides instant health advice through a seamless, voice-first experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product ...
... secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills:- 7+ years of professional software engineering experience, including 3+ years of hands-on experience in AI, ML, Generative AI, or intelligent automation.- Strong proficiency in Python; C#, Java, TypeScript, or JavaScript is an advantage.- Strong knowledge of LLMs, Generative ...
... Context Protocol (MCP) — both consuming MCP servers and building custom MCP server integrations. Experience with Claude model selection strategy (Opus, Sonnet, Haiku) for different agentic task profiles. Proficiency in prompt engineering: system prompts, few-shot examples, chain-of-thought, XML-structured outputs, and agent ...
... across business applications. Key Responsibilities Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets . Research and develop novel AI and Generative AI algorithms and techniques . Design, develop and optimize end-to-end AI/ML solutions for various applications. Work across Generative AI, NLP, ...
... Responsibilities :- Architect and develop scalable AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using ...
... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...
... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...
... companies . - Proven experience handling enterprise-level Indian customers , understanding their business culture and delivery expectations. - Strong exposure to AI/ML-based product implementations or integrations. - Deep understanding of Agile/Scrum delivery practices. - Demonstrated ability to lead multi-disciplinary teams ...
... OpenSearch, Pinecone- Data Processing: Glue, EMR- Deployment: ECS, EKS- Observability: Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive ...
... in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding ...
... tools or ML model validation platforms. Comfort working in Agile, distributed teams using tools like Git, JIRA, and Slack. You'll work at the intersection of AI, data infrastructure, and impact—contributing to platforms that ensure AI is explainable, auditable, and ethical at scale. Join a team building the next generation ...
... processing, model development, and production deployment . You will work closely with engineering, product, and business teams to translate requirements into scalable AI/ML solutions and take models from experimentation through production. Requirements KEY RESPONSIBILITIES - Design, develop, test, and deploy scalable AI/ML models ...
... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...