Data Science Associate - AI/ML Engineer

About the role :

You'll build and ship cloud-based AI applications for enterprise clients - GenAI and RAG systems, document intelligence pipelines, and ML services deployed on Azure. This is hands-on engineering work: you'll take solutions from requirement discussion through to production, not stop at a notebook.

What you'll do :

- Build and deploy AI/ML solutions in Python on Azure (App Service, Blob Storage, Azure SQL/CosmosDB, Docker)

- Develop GenAI applications using LLMs, RAG, and orchestration frameworks like LangChain and HuggingFace

- Apply document intelligence and cognitive search to solve real client problems extraction, automation, search over unstructured content

- Expose solutions as secure, containerised APIs and keep them running reliably

- Work directly with clients and cross-functional teams from scoping to go-live

What you'll bring :

- Strong Python and SQL, with production code (not just scripts) to your name

- Practical experience building RAG or LLM-based applications end-to-end

- Working knowledge of Azure services and containerisation

- Exposure to TensorFlow, PyTorch, or Transformers

- Clear thinking, a bias for shipping, and comfort with ambiguity

Nice to have :

- Azure AI Document Intelligence, Azure AI Search, AZ-900 or AI-900 certification.

Why Celebal Technologies :

As a Microsoft Data & AI partner, we deliver AI solutions across Azure, Databricks, and Fabric for global enterprises so your work reaches real users quickly, across varied industries and problems.