python mlops

Good to have a hands-on design and development experience ( azure, databricks, spark )

Have Agile , Test Driven Development and DevOps practices part of your DNA

• Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), MLOps practices, and cloud platforms (Azure MCP, Azure AI Foundry ).
• Strong foundation in data science, statistics, and algorithmic modeling.

hands-on experience with prompt engineering, model context protocol (MCP), and Vibe coding for AI model optimization and orchestration.

• Familiarity with regulatory frameworks and compliance requirements in banking and capital markets is good to have