Key Responsibilities

• Design scalable, production-ready machine learning systems that align with business and technical requirements.
• Guide and support ML engineers and data scientists through code reviews, knowledge sharing, and technical direction.
• Lead the end-to-end development lifecycle of ML models—including data preprocessing, training,evaluation, deployment, and performance monitoring.
• Maintain robust standards in code quality, testing, documentation, version control, and reproducibility of ML experiments and pipelines.
• Collaborate with product and business stakeholders to translate strategic goals into effective AI/ML solutions.
• Estimate effort, manage project timelines, and ensure successful delivery of ML features in line with enterprise goals.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
• 10+ years of professional experience, including at least 5 years in a hands-on data/ML role.
• Proficiency in programming languages (Python, Scala, Java), ML/AI frameworks (TensorFlow, PyTorch,Scikit-learn), MLOps tools (MLflow, Kubeflow, SageMaker, Airflow), cloud platforms (AWS, Azure,GCP), data engineering (Spark, Kafka, SQL, Snowflake), DevOps tools (Docker, Kubernetes,Terraform), and model governance techniques including model cards and explainability tools.
• Prior experience in roles such as Tech Lead – ML, Senior Tech Lead – ML, or equivalent leadership positions.
• Exposure to the financial services domain is a strong advantage.
• Demonstrated experience in modernizing IT systems and working on large-scale enterprise applications.
• Strong attention to detail and analytical thinking
• Curiosity and adaptability in learning new tools and domains
• Ability to work independently and thrive in a collaborative team culture
• Alignment with ComBank’s organizational values and technology culture
• Proven ability to mentor and lead diverse technical teams
• Project management skills including task estimation, timeline planning, and stakeholder communication
• Effective in translating complex technical concepts into actionable business solutions