Job Description
What You’ll Do
• Lead end‑to‑end AI Delivery & MLOps, ensuring models move from development to production seamlessly
• Manage and mentor a multidisciplinary team of AI Engineers, ML Engineers, and Data Scientists
• Drive innovation through Generative AI, including LLMs, RAG, and Computer Vision
• Oversee AI infrastructure, tooling, and cloud platforms PyTorch, TensorFlow, HuggingFace, LangChain, Spark, etc.
• Build advanced models Deep Learning, Neural Networks, Reinforcement Learning
• Ensure rigorous AI governance, documentation, model lineage, and compliance
• Establish frameworks for model observability, bias, drift, performance monitoring
• Translate business needs into AI roadmaps that enhance customer experience and operational efficiency
• Champion agile AI delivery sprints, rapid prototyping, iterative model enhancement
• * What Success Looks Like
• Deployment of impactful AI solutions across banking functions
• Automation of manual processes and measurable efficiency gains
• High‑performing AI agents and retrieval systems
• Strong stakeholder satisfaction and user adoption
• Compliance with ethical and regulatory AI standards
What We’re Looking For
• Bachelor’s degree in Computer Science, AI, Data Science or related field Master’s is an advantage
• 8-10 years AI/ML experience, ideally including production-grade deployments in Financial Services
• Strong expertise in MLOps, Python, ML libraries, LLM orchestration, and data engineering
• Familiarity with NDPA, AI ethics, and bias mitigation principles
• Excellent communication skills and the ability to explain complex AI concepts to business leaders
• Strategic thinker with a product mindset and high problem‑solving ability
• Lead end‑to‑end AI Delivery & MLOps, ensuring models move from development to production seamlessly
• Manage and mentor a multidisciplinary team of AI Engineers, ML Engineers, and Data Scientists
• Drive innovation through Generative AI, including LLMs, RAG, and Computer Vision
• Oversee AI infrastructure, tooling, and cloud platforms PyTorch, TensorFlow, HuggingFace, LangChain, Spark, etc.
• Build advanced models Deep Learning, Neural Networks, Reinforcement Learning
• Ensure rigorous AI governance, documentation, model lineage, and compliance
• Establish frameworks for model observability, bias, drift, performance monitoring
• Translate business needs into AI roadmaps that enhance customer experience and operational efficiency
• Champion agile AI delivery sprints, rapid prototyping, iterative model enhancement
• * What Success Looks Like
• Deployment of impactful AI solutions across banking functions
• Automation of manual processes and measurable efficiency gains
• High‑performing AI agents and retrieval systems
• Strong stakeholder satisfaction and user adoption
• Compliance with ethical and regulatory AI standards
What We’re Looking For
• Bachelor’s degree in Computer Science, AI, Data Science or related field Master’s is an advantage
• 8-10 years AI/ML experience, ideally including production-grade deployments in Financial Services
• Strong expertise in MLOps, Python, ML libraries, LLM orchestration, and data engineering
• Familiarity with NDPA, AI ethics, and bias mitigation principles
• Excellent communication skills and the ability to explain complex AI concepts to business leaders
• Strategic thinker with a product mindset and high problem‑solving ability
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