Description

You will design and implement end-to-end Generative AI solutions and machine learning architectures.

This role is on-site.

Responsibilities

• Design and build Generative AI applications using RAG methodologies.
• Implement end-to-end projects utilizing Generative AI, ML, and AI components.
• Automate various aspects of the RAG pipeline for Generative AI-based applications.
• Set up monitoring, observability, and guardrails for Generative AI solutions.
• Evaluate, validate, and refine results from RAG-based applications.

Required Skills

• 15+ years of experience in Data Science, AI, ML, and Generative AI technologies.
• Hands-on experience with Azure OpenAI services or other managed large language models.
• Proficiency in Python and frameworks such as Flask and FastAPI.
• Experience with Azure AI/ML services including Azure OpenAI, AI Search, CosmosDB, and Functions.
• Deep learning expertise using TensorFlow, NLP, and Python.
• Strong knowledge of ML algorithms including GPTs, CNN, RNN, kNN, Naive Bayes, SVM, and Decision Forests.
• Experience in Architecture Governance.
• Degree in any graduate field.

Preferred Skills

• Experience with Business Process Design, Mapping, Capability Models, and EA Frameworks.
• Knowledge of Reference Architecture, Research Papers, and Roadmap/Strategy.

Key Skills

Education

Any Gradute