First seen by Alion on Aug 13, 2026.
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.
Skills
Machine Learning, Python, Generative AI, LLM, Azure, NLP, Tensorflow, PyTorch, Artificial Intelligence, Data Science, Data Scientist

