AI Chapter Lead

Education ＆ Experience: Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field 4+ years of experience in data science/ML engineering, with minimum 1 years in a lead or senior technical role Experience in banking/financial services is strongly preferred Track record of delivering ML projects to production Technical Skills: Strong proficiency in Python and SQL Solid knowledge of ML algorithms: regression, classification, clustering, ensemble methods, deep learning fundamentals Hands-on experience with ML platforms (Dataiku preferred) Understanding of MLOps practices: CI/CD for ML, model versioning, monitoring, containerization Experience with cloud platforms (MS Azure preferred) Familiarity with Git, Docker, and API development Demonstrated ability to lead small technical teams and deliver results Strong mentoring and coaching capabilities Clear communication skills—ability to explain technical concepts to non-technical stakeholders Proactive problem-solver with strong ownership mentality Collaborative approach with attention to quality and detail Experience with LLMs, RAG architectures, or conversational AI implementations Familiarity with model validation processes and regulatory documentation requirements Experience with Agile/Scrum methodologies in data science context Background in NLP or computer vision projects