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