Senior Data Scientist
First seen by Alion on Sep 11, 2026.
Role Summary:
We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Generative AI (GenAI), Python, FastAPI, and Azure. The ideal candidate will have hands-on experience in building intelligent systems, deploying ML/AI models, and working with modern AI frameworks. You will play a key role in designing and delivering scalable AI-driven solutions for real-world business problems.
Key Responsibilities:
- Design, develop, and deploy Machine Learning and GenAI models for various business use cases.
- Build and optimize APIs using FastAPI for serving ML/AI models.
- Work with Azure cloud services for model deployment, monitoring, and scaling.
- Build and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, and LLMs to enable context-aware AI applications.
- Develop and fine-tune large language models (LLMs) and GenAI solutions.
- Create effective prompts and prompt engineering strategies for LLM-based applications.
- Perform data preprocessing, feature engineering, and model evaluation.
- Collaborate with cross-functional teams including Data Engineers and Product teams.
- Ensure model performance, scalability, and reliability in production environments.
Primary Skills:
- Machine Learning (Supervised, Unsupervised, NLP)
- Generative AI (LLMs, Prompt Engineering)
- Python
- FastAPI
- Azure (Azure ML, Azure OpenAI, etc.)
- API Management
Secondary Skills:
- Deep Learning frameworks (TensorFlow / PyTorch)
- MLOps and CI/CD practices
- Experience with vector databases (FAISS, Pinecone, etc.)
- Exposure to data engineering concepts
- Understanding of model monitoring and governance
Skills
Machine Learning, Generative AI, Python, FastAPI, Azure, Data Science, Data Scientist, LLM, RAG, Prompt Engineering