
Tech Lead - Machine Learning (ML)
Job Description
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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