Description

You design and build production-grade Generative AI and Machine Learning solutions on Azure Databricks and cloud infrastructure.

This role is on-site.

Responsibilities

• Develop Generative AI applications using LLMs (OpenAI, Azure OpenAI, Hugging Face) and RAG pipelines.
• Implement vector search systems (Azure AI Search, Pinecone, FAISS) and integrate with LangChain or LlamaIndex.
• Build scalable data and ML pipelines using PySpark, Delta Lake, and Databricks Lakehouse.
• Manage model lifecycle including training, experimentation (MLflow), deployment, and monitoring via MLOps practices.
• Collaborate with cross-functional teams to deliver end-to-end AI applications and Rest APIs.

Required Skills

• 5+ years of experience with Python and building ML/NLP solutions.
• Strong proficiency with Azure Databricks, including PySpark and Delta Lake.
• Hands-on experience with MLOps tools (MLflow) and CI/CD pipelines.
• Experience deploying models using Docker and Kubernetes.
• Familiarity with vector databases and search technologies.
• Ability to design and implement FastAPI or Rest APIs for model serving.

Preferred Skills

• Experience with Databricks MosaicML or Vector Search.
• Knowledge of LangGraph or advanced LLM orchestration frameworks.

Key Skills

Education

Bachelor's degree