About the role
· 6-12 years of experience in technology roles with a strong focus on AI/ML strategy and implementation.
· Proven track record of delivering enterprise-grade AI/ML solutions in financial services, preferably in compliance, surveillance, or risk domains.
· Strong coding skills in Python is a must.
· 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
· Excellent communication and stakeholder management skills, with the ability to influence at senior levels.