Role & responsibilities
Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting
Django is essential
Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus.
Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD)
Works with Lang chain, Azure Synapse, Kubernetes, and modern ML frameworks
Keyskills: Large Language Model Artificial Intelligence Natural Language Processing Machine Learning Python Data Science LLM Deep Learning