Description

You build and deploy AI applications, focusing on GenAI stacks and MLOps systems.

This role is on-site.

Responsibilities

• Develop high-performance APIs using Python and FastAPI.
• Implement RAG systems and manage vector databases like Pinecone and FAISS.
• Build MLOps pipelines with MLflow, including model registry and CI/CD.
• Deploy models for batch and real-time inference.
• Integrate with enterprise systems and data APIs (SQL, REST, SOAP).

Required Skills

• 10+ years of Python development experience.
• Strong proficiency with ML frameworks: PyTorch, TensorFlow, Scikit-learn.
• Experience with GenAI stacks (OpenAI, Claude, LLaMA, Hugging Face).
• Hands-on MLOps tools: MLflow, CI/CD pipelines, experiment tracking.
• Knowledge of vector databases and RAG architectures.
• Experience with AWS cloud services.

Preferred Skills

• Experience integrating with enterprise systems like SAP.
• Background in data API design (SQL, REST, SOAP).

Key Skills

Education

Any Gradute