Full-Stack AI ML Engineer (Streamlit + Python)
Location:
Remote / India
Experience:
4–6 years
Role Summary:
You will develop AI-powered tools using Streamlit for enterprise users—supporting use cases like spreadsheet summarization, HR Q&A bots, and performance engineering insight extraction.
Key Responsibilities:
Build Streamlit apps for AI-assisted internal workflows
Integrate frontend components with backend Python pipelines and vector stores
Use LangChain or LlamaIndex to enable RAG with local LLMs
Package apps using Docker for AWS deployment
Must-Have Skills:
Python (Pandas, Scikit-learn, FastAPI or Flask)
Experience with Streamlit or Dash for rapid UI development
Familiarity with LLM APIs, Ollama, or Hugging Face models
Vector DB integration (Chroma, FAISS, etc.)
Bonus: Knowledge of HR/Performance engineering domains