We are looking for a Python ML Engineer with strong expertise in Generative AI and Azure Databricks to design, build, and deploy scalable AI solutions. The ideal candidate should have hands-on experience with LLMs, RAG pipelines, and Azure-based AI ecosystems, along with a solid foundation in machine learning and data engineering.
Technical Requirements: Strong programming skills in Python
Hands-on experience with:
✅ Generative AI / LLMs
✅ RAG, embeddings, vector search
✅ LangChain / LangGraph / LlamaIndex
Mandatory experience in:
✅ Azure Databricks
✅ PySpark / Spark
Experience with:
Azure OpenAI / Azure AI Studio
MLflow, model serving, MLOps
Understanding of: Transformers, NLP, prompt engineering
Exposure to: REST APIs, FastAPI/Flask (for deployment)
Additional Responsibilities: Experience with Databricks MosaicML / Vector Search
Knowledge of Docker, Kubernetes
Familiarity with CI/CD pipelines
Experience in building end-to-end AI applications
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