Data Scientist

Key Responsibilities:

• Lead the implementation of end-to-end Generative AI projects utilizing Microsoft Azure AI and OpenAI.
• Design and build Generative AI applications using advanced methodologies such as Retrieval Augmented Generation (RAG).
• Automate various aspects of the overall RAG pipeline for Generative AI based applications.
• Design comprehensive solutions leveraging Generative AI, AI, and Machine Learning (ML) components.
• Gain hands-on experience working with Azure OpenAI services or other managed large language models (LLMs).
• Utilize AI/ML, search, and data services within the Azure ecosystem, including Azure OpenAI, AI Search, CosmosDB, and Azure Functions.
• Conduct thorough evaluation, validation, and refinement of results from Generative AI RAG-based applications.
• Set up robust monitoring, observability, and guardrails for Generative AI solutions to ensure responsible and ethical deployment.
• Develop and deploy applications using Python programming language, along with popular frameworks such as Flask and FastAPI.
• Apply expertise in AI/ML, deep learning, TensorFlow, and Natural Language Processing (NLP).
• Demonstrate excellent understanding of machine learning techniques and algorithms, including GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Deploy applications to Microsoft Azure or other cloud platforms.