Data Architect

Must Haves: Python, NLP Frameworks, ML Python Frameworks, LLM, RAG

Nice to Have: Azure, LLMOps, Git, CI/CD

Key Responsibilities:

• Design and develop GenAI-based applications powered by RAG, text-to-SQL, function-calling, and agentic architectures.
• Conduct experiments and analysis to evaluate and optimize the performance and business value impact of ML and GenAI-based applications.
• Interact with business stakeholders to gather feedback and tailor solutions to business needs.

Must-Have Skills & Qualifications:

• 10+ years of experience in software engineering, machine learning, data science, or artificial intelligence.
• Strong proficiency in Python.
• Experience using common NLP and/or ML Python frameworks, such as PyTorch, TensorFlow, Transformers/Hugging Face, and NumPy.
• LLM skills, including fine-tuning, LLMOps, function-calling, and retrieval augmented generation (RAG).
• Experience following software best practices in team settings, including version control (Git), CI/CD, documentation, & unit testing.
• Exposure to Microsoft Azure or similar cloud computing ecosystem.
• Strong communication skills, and ability to collaborate with cross-functional teams.
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environmen