Python ML Engineer

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.

Design and develop Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Hugging Face)
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Implement frameworks like Lang Chain, Lang Graph, or Llama Index
Develop and maintain ML models using Python ecosystem

Work extensively on Azure Databricks for:

Data processing (Py Spark)
Model training & experimentation (MLflow)
Deployment & monitoring

Build scalable data pipelines on Databricks Lakehouse (Delta Lake)
Integrate vector databases / search systems (Azure AI Search, Pinecone, FAISS, etc.)
Deploy ML/GenAI solutions using MLOps best practices
Collaborate with cross-functional teams for production-grade AI solutions

Strong programming skills in Python
Hands-on experience with:

✅ Generative AI / LLMs
✅ RAG, embeddings, vector search
✅ Lang Chain / Lang Graph / Llama Index

Mandatory experience in:

✅ Azure Databricks
✅ Py Spark / 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)

Experience with Databricks MosaicML / Vector Search:

Knowledge of Docker, Kubernetes
Familiarity with CI/CD pipelines
Experience in building end-to-end AI applications

Education: MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech

• Preferred skills: Technology->AI Hyperscalers->Azure Agentic AI Services->Azure NLP,Technology->data science->Natural Language Processing,Technology->data science->PYTHON,Technology->Open System->Python
• Open System->Python