Job responsibilities

- Build and fine-tune machine learning models for production use cases
- Develop and maintain AI pipelines from data ingestion to model serving
- Integrate and configure MCP (Model Context Protocol) servers for agentic workflows
- Collaborate with product teams to ship AI-powered features
- Monitor model performance and implement retraining strategies
- Write clean, well-tested, production-grade Python code

Qualifications and requirements

- 4+ years of experience in ML engineering or applied AI roles
- Solid understanding of supervised/unsupervised and reinforcement learning
- Hands-on experience with LLM fine-tuning, prompt engineering and RAG
- Comfortable configuring and working with MCP Server environments
- Proficiency in Python; familiarity with FastAPI or Flask for model serving
- Experience with vector databases (Pinecone, Weaviate, pgvector)

Skills

- Python
- LLMs
- RAG
- MCP Servers
- PyTorch
- Vector DBs
- FastAPI
- MLflow

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI / ML Engineer (India)
🏢 Knowforth Tech
📍 India