We are looking for an AI Engineer / Data Engineer with strong hands-on experience in Python, SQL, PySpark, Databricks, Data Science, and Agentic AI.

The ideal candidate should have experience in Agentic AI model development and deployment on the Databricks platform for real-world business use cases. The role requires solid practical knowledge of AI/LLM solutions, scalable data processing, Databricks Apps, REST APIs, microservices architecture, and production-grade deployment workflows.

Required Skills
Robust hands-on experience in Python, SQL, PySpark, LangGraph, LangChain and MlFlow
Hands-on Databricks experience
Experience with Databricks Apps and deployment workflows
Experience in Agentic AI model development and deployment on Databricks platform
Robust Data Science and Machine Learning knowledge
Experience with LLMs and Generative AI applications
Knowledge of REST APIs and Microservices architecture




Strong understanding of RDBMS concepts and database design
Ability to build optimized and scalable data pipelines
Knowledge of AI model deployment and production workflows
Understanding of RAG, vector databases, and AI orchestration frameworks
Familiarity with cloud platforms like Azure, AWS, and GCP
Knowledge of MLOps and CI/CD pipelines

AI Engineering Hiring
The critical skills identified for AI Engineering resources areSQL, Python, Spark, and hands-on experience with Machine Learning models.
I have negotiated with the customer toremove the Databricks experience requirementat the hiring stage.
Post onboarding, we will ensure that the selected resources undergo adequate training and enablement on theDatabricks ecosystemto align with project requirements.(Max 5 working days)

📌 Python Ai Developer Mumbai
🏢 Celebal Technologies
📍 Mumbai