Contract Hiring- Senior AI MLOps Engineer/Data Scientist

Contract Job Hiring

Job Title: Senior AI MLOps Engineer/Data Scientist

Location: Pan India (Work From Office Only)

Employment Type: Contract

Experience Level: 6-10 Years

Tech Stack: Azure | Databricks | AKS | ARO | Kubernetes | MLflow | GitHub Actions | Python | Helm | GitOps | Vector Stores | GenAI Frameworks

Role Summary

We are seeking a senior Ops Engineer to support GenAI, LLM, and ML workloads, with a strong focus on deployment automation, observability, scalability, and platform reliability across Azure and Kubernetes environments.

Key Responsibilities

• Build and maintain CI/CD/CT pipelines for ML models, LLMs, and GenAI workloads
• Deploy and operationalize:
• ML models and custom LLMs
• AI agents and GenAI services using Databricks, MLflow, AKS / ARO
• Integrate and scale GenAI ecosystems including:
• Azure OpenAI / OpenAI
• HuggingFace models
• RAG pipelines and vector databases
• Support development and deployment of custom models and out of the box AI agents
• Manage Databricks:
• Workspaces
• Clusters
• Model registry
• Job orchestration
• Own AKS / ARO lifecycle, including networking, scaling, Helm based deployments, and GitOps workflows
• Implement robust observability for AI/ML/LLM systems (latency, drift, reliability, performance)
• Ensure cloud security, governance, access controls, and cost efficiency

Required Skills

• Strong hands on experience with Azure, AKS/Kubernetes, Databricks, MLflow
• Experience with LLMOps, RAG pipelines, and vector stores (FAISS, Pinecone, Chroma, etc.)
• Proficiency in Python and automation scripting
• Strong understanding of AI/ML system operations and platform reliability