Senior Machine Learning Engineer

**Organization**:At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

**Job Title**:Senior Machine Learning Engineer
**Location**:Bengaluru - Manyata Tech Park

**Impact**& Contribution: To ensure the Group achieves sustainable competitive advantage through data & analytics, you will need to play a key role in supporting the CDO in executing to the Groups AI strategy. You will utilize cutting-edge technologies to solve our customers' hardest business centric problems. One of your key responsibilities will be on the forefront of emerging technology in AI space and driving E2E AI use cases in R&D style of development. This will include sound knowledge of the Groups data strategy, architecture and technology roadmap, aligning business needs and ensuring appropriate service levels of the CDO technology services. You will adopt tools and templates used across CDO that underpin our data and analytics capabilities for the Group projects.

**Roles & Responsibilities**:As a Senior ML Engineer, You will be expected to perform the following tasks and responsibilities in a manner consistent with CBA's Values and People Capabilities.
- AI/ML Strategy Implementation: Support CDO in executing the Group's AI strategy ; Drive E2E AI use cases with cutting-edge technologies ; Align solutions with Group's data strategy and architecture
- ML Platform Development: Design and implement scalable ML platforms ; Build automated ML pipelines using Python and AWS services ; Ensure robust model deployment and monitoring systems
- Cloud Infrastructure Management: Utilize AWS services (CloudFormation/Terraform, S3, CloudWatch, IAM, EC2, ECR, Lambda, EMR, SageMaker) ; Implement infrastructure as code practices ; Maintain security and compliance standards
- API Development & Integration: Develop RESTful APIs using Django, Langchain, and Node.js ; Create efficient data processing pipelines ; Implement MLOps best practices
- Technical Leadership: Provide technical guidance on ML infrastructure; Collaborate with data scientists and business stakeholders ; Drive innovation in AI/ML technology adoption
- Risk: Operate within the CBA Group risk appetite and effectively manage strategic and operational risk related to data.
- Adhere to our Code of Conduct. The Code of Conduct sets the standards of behavior, actions and decisions we expect from our people.
- Agreements, SLOs (Service Level Objectives) and financial targets and results (Service Delivery Components) are achievable and adequate.Involvement in any audits of the services within your control and managing any subsequent follow-up activities.

**Essential Skills**:

- 7-10 years of experience in ML Engineering/MLOps with knowledge of ML frameworks and tools with hands on experience in ML Models development & It’s maintenance & Data Science
- Expert-level Python programming skills
- Strong experience with AWS services and cloud architecture with p roficiency in shell scripting and automation
- Experience with API development frameworks and u nderstanding of DevOps practices
- Advanced proficiency in IT Risk Assessment & Management and a dvanced Systems Management capabilities
- Sound consulting and critical analysis skills
- Strong negotiation and service partner management abilities
- People Capabilities: Customer Focus; Team and Culture building; Continuous Improvement mindset ; Effective Communication ; Strong Judgment; Results-Driven approach

Good to Have: Basic understanding of database concepts, SQL ; Domain experience in finance, banking, Insurance ; Good understanding of AI/ML concepts and GenAI foundations

**Education Qualifications**:

- Bachelor’s degree/Master’s degree/Ph.D. in Data Science, Machine Learning, Computer Science, Computational Linguistics, Statistics, Mathematics, Physics
- Additional industry or product certification

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