Tech Lead - Al

We are seeking a Tech Lead - Al to support the bank's existing and new initiatives related to Al & Data Science (DS). This role focuses heavily on Model-Centric Al Engineering and MLOps. You will govern the end-to-end lifecycle of internal Al applications on premise and on cloud, validate complex vendor models, mentor the internal Al team, and ensure that our predictive math is engineered into robust, monitored microservices.

Key Responsibilities:

• Lead Al System Design & Architecture: Design and build scalable, production-ready Al systems aligned with business goals. Optimize models both for on premise and on cloud scenarios.
• Vendor Model Oversight & Governance: Validate and monitor the performance of models delivered by external vendors.
• Mentor & Guide the Al Team: Provide technical leadership, code reviews, and mentorship to ML engineers and data scientists handling internal R&D and PoCs.
• Maintain High Engineering Standards: Ensure best practices in coding, testing, documentation, version control, and reproducibility of Al experiments, particularly focusing on XAI and model governance.

Qualifications:

• Bachelor's degree in Computer Science, IT, or a related discipline.
• 5+ years of experience in a hands-on Al Engineering-related role.
• Previous roles: Tech Lead - AI/ML, Senior Data Scientist, Senior Engineer - AI/ML, or similar technical lead role.
• Experience in the finance domain is an added advantage.

Technical Skills:

• Programming: Python
• ML/AI Frameworks: TensorFlow, PyTorch, Scikit-learn, LLM frameworks, Agentic Al
• MLOps & Cloud: GCP, MLflow, Kubeflow, SageMaker, Airflow
• Governance: Model cards, XAI tools, differential privacy, regulatory model validation

Soft Skills & Leadership:

• Ability to fit into the Combank organization & IT culture.
• Leadership & Mentorship: Ability to guide a team, provide mentorship, and foster collaboration.