Tech Lead - Machine Learning (ML)

We are seeking a Tech Lead Machine Learning to support the bank's existing and new initiatives related to Al & Data Science (DS). The ideal candidate will lead ML system design and architecture, mentor the ML team, oversee model development and deployment, and maintain high engineering standards.

Key Responsibilities:

• Lead ML System Design & Architecture: Design scalable, production-ready ML systems aligned with business goals and technical standards.
• Mentor & Guide the ML Team: Provide technical leadership, code reviews, and mentorship to ML engineers and data scientists.
• Oversee Model Development & Deployment: Manage the end-to-end lifecycle of ML models, from data preprocessing and training to evaluation, deployment, and monitoring.
• Maintain High Engineering Standards: Ensure best practices in coding, testing, documentation, version control, and reproducibility of ML experiments and pipelines.

Qualifications:

• Bachelor's degree in Computer Science, IT, or a related discipline.
• 6+ years of work experience in a hands-on ML-related role.
• Previous roles: Tech Lead - ML, Senior Tech Lead - ML, or similar technical lead role.
• Experience in the finance domain is an added advantage.
• Project experience in large-scale applications, legacy system support, ML model monitoring and governance, and IT modernization within an enterprise environment.

Technical Skills:

• Programming: Python
• MLOps: MLflow, Kubeflow, SageMaker, Airflow
• DevOps/Infra: Docker, Kubernetes, Terraform
• ML/AI Frameworks: TensorFlow, PyTorch, Scikit-learn
• Cloud Platforms: AWS, GCP, Azure, internal DC platform
• Governance: Model cards, XAI tools, differential privacy
• Data Engineering: Spark, Kafka, SQL, BigQuery, Snowflake
• AI & DS Technical Architect Skills

Soft Skills & Organizational Fit:

• Ability to fit into the Combank organization & IT culture.
• Curiosity and ability to learn new areas quickly.
• Excellent attention to detail and analytical skills.
• Ability to work independently and collaboratively in a team-oriented environment.

Leadership & Project Management:

• Leadership & Mentorship: Ability to guide a team, provide mentorship, and foster collaboration.
• Project Management Skills: Experience in senior engineering roles, managing timelines, estimating tasks, and stakeholder communication.
• Stakeholder Communication: Act as a bridge between technical teams and business/product stakeholders, translating requirements into technical solutions.

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