AI / ML Specialist in Pune, India

312k

... 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 ...

... Proficiency with Amazon Bedrock, Anthropic Claude, Azure OpenAI, OpenAI, or similar AI platforms. Knowledge of AI frameworks such as Agentic AI, CrewAI, LangChain, LangGraph, MCP, RAG, and vector databases. Familiarity with MLOps responsibilities: model deployment, monitoring, and governance practices. Experience in airline ...

... translate them into AI solutions. Ensure model performance, fairness, and explainability through rigorous testing and validation. Deploy models to production using MLOps tools and monitor their performance over time. Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business ...

• Remote

... 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 ...

... experience building and deploying AI/ML systems in production (beyond demos or experimentation) - Track record of architecting, building, and successfully shipping AI/ML or software solutions using modern AI-assisted workflows - Strong understanding of AI system evaluation and measurement: including offline metrics, online monitoring, ...

• Full-time

... 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, ...

... cross-functional teams to deliver AI-driven solutions. Ensure responsible AI, privacy, security, and operational readiness across implementations. Strong experience in AI/ML solution architecture and enterprise application development. Knowledge of Generative AI, Machine Learning, and AI/ML lifecycle. Experience with RAG and LLM ...

... for enterprise AI adoption.- Provide technical leadership and mentorship to engineering and AI/ML https://jobeax.com/link/tHimJJWnl73Dwmn0 Stack : - Generative AI, LLM, RAG, Agentic AI, Python, FastAPI, Azure OpenAI, AWS Bedrock, Vector Databases, Elasticsearch, Kubernetes, Docker, Cloud Architecture, MLOps/LLMOps.Required ...

... 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 ...

• Remote

... 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 ...

• Full-time

... 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 ...