Description

Requirements:

  >> Advanced Python development for ML/AI workloads >> End‑to‑end ML lifecycle: model training, evaluation, fine‑tuning, and labeling/tagging workflows >> Generative AI systems design, including LLM-based application development >> Prompt engineering optimization for large language models >> Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data >> Embedding generation pipelines for semantic search and retrieval >> Vector similarity search implementation using vector databases >> ML model integration with Vector DBs and MongoDB >> Production‑grade ML engineering: scalable, maintainable, and deployment‑ready code >> Knowledge of CI/CD pipelines and cloud deployment (Azure preferred) >> Experience with Vector DBs and/or MongoDB

Key Skills

Education

Any Gradute