Description

Key Responsibilities

• Collaborate with clients and business stakeholders to understand workflows, requirements, and success criteria.
• Profile and process data using Python, pandas, PySpark, and SQL.
• Develop and deploy AI applications, REST APIs, and data pipelines using FastAPI and cloud platforms.
• Build Claude-powered AI solutions using RAG, prompt engineering, vector databases, semantic search, and agentic AI.
• Implement batch, real-time, and streaming data pipelines.
• Manage MLOps/LLMOps, CI/CD, MLflow, monitoring, deployment, and rollback.
• Troubleshoot production issues and optimize performance, reliability, latency, and cost.
• Ensure data security, governance, quality, and compliance while driving client adoption and knowledge transfer.

Required Skills

• 10+ years of experience in data engineering, AI application development, and production software engineering.
• Strong expertise in Python, PySpark, SQL, REST APIs, FastAPI, Git, Docker, Kubernetes, Airflow, and MLflow.
• Experience with Claude, RAG, vector databases, agentic AI, and LLMOps/MLOps.
• Strong knowledge of ETL/ELT, distributed processing, cloud platforms, and CI/CD.
• Understanding of IAM/RBAC, encryption, data privacy, monitoring, and enterprise security.
• Excellent client-facing, consulting, problem-solving, and communication skills.
• BFSI experience and a bachelor's degree in a relevant discipline are required/preferred as specified by the employer; relevant certifications are an advantage

Key Skills

Education

Bachelor's degree