The Senior Data & MLOps Engineer will be responsible for designing, building, and operating scalable Data, MLOps, and GenAI platforms with a solid focus on Agentic AI systems, model lifecycle automation, and cloud-native infrastructure. The role requires hands-on expertise across data engineering, model deployment, observability, governance, and cloud infrastructure, ensuring enterprise-grade reliability, security, and cost efficiency.

Handon to Langchain/Langraph / MS Foundry / AWS Bedrock , any one a must

Key Responsibilities
Data & MLOps Engineering
Design and implement end-to-end MLOps pipelines covering data ingestion, feature engineering, model training, validation, deployment, monitoring, and retraining.
Operationalize GenAI and LLM-based solutions, including prompt management, vector databases, embeddings, and agent workflows.
Implement CI/CD pipelines for ML and GenAI workloads using industry best practices.
Enable scalable experimentation, versioning, rollback, and model lifecycle management.
GenAI & Agentic AI Enablement




Build and operate Agentic AI frameworks supporting multi-agent orchestration, tool calling, memory management, and autonomous task execution.
Implement guardrails for GenAI including security, safety, bias detection, hallucination mitigation, and policy enforcement.
Optimize LLM inference performance, latency, cost, and throughput across environments.
Cloud Infrastructure & Platform Engineering
Architect and manage cloud-native ML platforms on Azure and/or AWS.
Leverage cloud services for compute (CPU/GPU), storage, containerization, and orchestration (Kubernetes).
Implement infrastructure-as-code (IaC) and platform automation to support scalable MLOps operations.
Observability, Governance & FinOps
Implement monitoring for model performance, data drift, concept drift, and system health.
Ensure compliance with enterprise standards for data governance, security, auditability, and Responsible AI.
Collaborate with FinOps teams to manage an

📌 Senior Technical Lead (Pune)
🏢 Birlasoft
📍 Pune