Artificial Intelligence, Machine Learning

AI/ML Expertise:

1. Understanding of AI agents and their integration with Large Language Models (LLMs).
2. Experience in model evaluation and comparison (e.g., GPT-4.1 vs GPT-5 reasoning models).
3. Ability to perform prompt engineering and fine-tuning for better results.

Key Skills:

1. Azure ML, Azure Kubernetes (AKS), Azure Storage/Data Lake, AI Capabilities
2. Python for ML scripting
3. Familiarity with data engineering workflows & Responsible AI principles

Project Deliverables:

• Testing & Success Criteria
• Defined criteria for success and corresponding tests in the pipeline.
• Functional and scale tests to be implemented.
• Reporting dashboards for test results and feature performance.
• Framework & Customization
• Use of existing experimentation framework; customization needed for new features.
• Engineers should understand AI agents and integration with large language models(LLM)