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AI Innovator
2 weeks ago
As a Senior Machine Learning Engineer, you will play a pivotal role in building and scaling AI systems that shape the future of our business. This permanent role sits at the intersection of data science, engineering, and operations, giving you the opportunity to turn advanced models into powerful, production-ready solutions that make a tangible difference for millions of customers.
This is your chance to drive impact at scale: harness rich high-volume datasets to build solutions that shape the experience of millions of customers across digital and physical space.
- Work on high-value use cases with modern tech: solve critical problems across supply chain using the latest in ML and MLOps on our newly developed Azure ML platform.
Key responsibilities include:
- Defining best practices within the Advanced Analytics team, streamlining the way the team deploys and manages models.
- Developing, deploying, and maintaining ML models in both Python and R.
- Ensuring scalability, efficiency, stability, and resiliency of production models.
- Leverage Azure's suite of tools and services to optimise ML workflows.
- Ensure robustness and reliability of ML models through automated testing.
- Lead technical discussions within the Advanced Analytics team.
- Collaborate with the broader Tech teams to enhance the infrastructure, security, and governance that underpins MLOps.
- Research and integrate emerging MLOps tools and frameworks to improve development workflow.
- Use various sources to keep abreast of industry practices.
- Mentor and support Advanced Analytics team members to develop their understanding and use of ML Engineering leading practices.
- Foster a culture of continuous learning and innovation in areas of machine learning engineering and MLOps.
Our ideal candidate has:
- Proven years of professional experience implementing and maintaining ML systems in production environments with a strong proficiency in Azure ML and cloud-based environments.
- Demonstrated expertise in MLOps (CI/CD, model monitoring, etc.) and the ML engineering lifecycle.
- Demonstrated experience with generative AI or deploying AI use cases.
- A track record of collaboration effectively to translate models into production-ready systems.
- Deep knowledge of modern software engineering practices and cloud platforms (preferably Azure but also GCP or AWS) and their ML-specific services.
- Experience in building scalable, reliable systems that handle large and growing data volumes and model complexity.
- Advanced coding experience in Python.
- Productivity applications - Git, Jira, Confluence or similar.
- Experience with full-stack app development highly advantageous.
We offer:
- Flexible working options: we know that work is only one part of your life, so we actively encourage a positive work-life balance and provide hybrid working options to help you achieve it.
- Office perks: take advantage of our gym facility and fitness classes, free parking, BBQ area, mini-supermarket, fooderie hub where you can sample new products before they hit the shelves, school holiday program and so much more when you come in.
- Discounts: eligible team members receive 5% discount all year round on your supermarket and liquor online and in-store purchases. We also offer additional periods of double discount (10%) at various times throughout the year. As well as hotdeals exclusive to team members that translate into additional savings.
- Reward through recognition: give and receive recognition, linked to our values, through our digital recognition platform 'mythanks'. You can accumulate points to redeem in the online shop for exciting gifts and electronic gift cards from an extensive range of retailers.
- Opportunities for learning and development: no matter where you start within our diverse business, you'll have experiences, exposure, and education to satisfy you. Discover and explore a variety of career development programs and job-specific training.
- Paid parental leave: we understand how important your life outside work is and offer permanent team members paid parental leave to support you in balancing work and family.
- Investment in your future: our annual team member share plan offer allows eligible team members to make regular pre-tax salary sacrifice deductions to purchase shares.
