LEAD AI ML Engineer (Pune)

LEAD AI ML Engineer (Pune)

07 Oct
|
Riveron India
|
Pune

07 Oct

Riveron India

Pune

Riveron India is hiring for #Lead #AIML Engineer interested candidates share resume on [email protected]

Role: Lead AI/ML Engineer

Experience: 5+ Years Relevant

Location: Pune / Bangalore

Work Mode: Hybrid

Employment Type: Full-time

We are looking for a Senior AI/ML Engineer to design, build, and operate production-grade AI and Generative AI solutions for complex enterprise use cases.

HANDS-ON PRODUCTION EXPERIENCE with MODEL CONTEXT PROTOCOL (MCP) IS MANDATORY

Key Responsibilities

- Design and build enterprise RAG platforms, including embeddings, hybrid/vector search, reranking, citations, and access-aware retrieval
- Build production Agentic AI systems using tool/function calling, structured outputs, planning, memory, multi-agent orchestration, and human-in-the-loop workflows
- Architect and develop MCP clients and servers with secure transports, authentication, approvals, tracing, and governance
- Integrate AI agents with enterprise systems such as ERP/CRM, databases, document repositories, source control, and ticketing systems
- Define evaluation strategies for accuracy, groundedness, safety, latency, and cost
- Build production services using Python, Docker, Kubernetes, and Infrastructure as Code
- Implement CI/CD, MLOps/LLMOps,



observability, monitoring, and continuous optimization
- Lead architecture and design discussions and mentor engineering teams

Required Skills

- 5–9 years of experience developing production software, data, ML, or AI solutions
- Advanced Python with pandas, NumPy, scikit-learn, PyTorch, TensorFlow, or equivalent
- Strong understanding of LLMs, RAG, embeddings, prompting, context engineering, and Agentic AI
- Hands-on production experience with Model Context Protocol (MCP) is mandatory
- Experience developing MCP clients and servers, defining tools/resources/prompts, and working with stdio or Streamable HTTP transports
- Solid experience with AWS or Azure
- Experience with Docker, Kubernetes, and Infrastructure as Code
- Strong Git/GitHub and CI/CD experience
- Experience with MLOps/LLMOps, evaluation, tracing, monitoring, and cost optimization
- Current, role-relevant AWS AI/ML or Microsoft Azure AI certification is mandatory

#Hiring #AI #MachineLearning #GenAI #GenerativeAI #AIML #AgenticAI #MCP #RAG #Python #AWS #Azure #Kubernetes #MLOps #LLMOps #PuneJobs #BangaloreJobs #AIJobs #TechHiring

📌 LEAD AI ML Engineer (Pune)
🏢 Riveron India
📍 Pune

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