3 years of experience must include: Machine Learning model development and lifecycle management; Deep Learning models, including sequence-based long short-term memory (LSTM) networks; MLOps automated model pipelines; Risk analytics; ETL pipeline development for AI; Statistical analysis and experimental design; AI model performance and root cause analysis; Large-scale data processing; Model validation and governance frameworks; Sanctions Screening domain; Deployment, release management, and production implementation of machine learning and data processing systems within enterprise environments; Python, SQL, Oracle, REST APIs, Linux/Unix, Git, LightSpeed, Autosys. Requirements: Requires a Master's degree or foreign equivalent in Computer Science, Data Science, Engineering (any), Statistics, Mathematics or related quantitative field and 3 years of experience as Sr Software Engineer (AI/ML Systems), Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Analytics Engineer or related position involving designing and implementing machine learning and artificial intelligence solutions, including natural language processing techniques and emerging large language models applications, to automate and enhance sanctions screening risk and compliance workflows for the banking industry.