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Senior Machine Learning Engineer
2 weeks ago
We've been trusted to serve Aussie communities since 1914 and grown to become a top 30-listed on the ASX with over 115,000 team members and a portfolio of iconic brands. At Coles Group, you'll not only get to make a difference to millions of Aussie lives—you'll also get to see your impact.
About the team
Our Technology team is the backbone of the business, building and maintaining the information technology infrastructure that support Coles Group. As a part of the Technology team, you get the opportunity to work through complex, challenging, meaningful problems using large data sets and new technologies to expand your skills and experience.
About the role
A permanent opportunity of a Senior Data Science Engineer is now available at the Coles Group.
Reporting into the Data Science Lead, this role will primarily be responsible for:
- Lead the implementation, deployment and streamlining of machine learning systems that bring ML and AI models to life.
- Collaborate closely with data science teams to operationalise models, and ensure robust, efficient ML code and pipelines that deliver measurable business impact.
Key responsibilities will include
Developing, deploying, and maintaining ML models in both python and R
Ensuring scalability, efficiency, stability and resiliency of production models
- Leveraging Azure's suite of tools and services to optimise ML workflows
- Championing MLOps practices within the Advanced Analytics team, streamlining the way the team deploys and manages models
- Ensuring robustness and reliability of ML models through automated testing
- Leading technical discussions within the Advanced Analytics team
Collaborating 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 of a variety of 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
- Fostering a culture of continuous learning and innovation in areas of machine learning engineering and MLops
About you & your skills
- 5+ years of professional experience implementing and maintaining ML systems in production environments with a strong proficiency in cloud-based environments such as AzureML
- Demonstrated expertise in MLOps (CI/CD, model monitoring, etc.) and the ML engineering lifecycle
- Demonstrated experience with generative AI or deploying an AI use case
- 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
Desired
- Previous experience in supermarkets or retail
- Experience in optimisation techniques
- Experience with the R programming language
- Experience in other coding languages such as C, C++, C#, Java, JavaScript
Commercial Skills and Formal Qualifications
- Bachelor or Master's Degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Econometrics, Engineering or related field.
- Business and commercial acumen
This position will provide the incumbent:
- Impact at scale:
Work with rich and diverse high-volume datasets to build solutions that directly shape the experience of millions of customers across digital and physical space.
- High value use cases and modern tech:
Tackle critical problems across supply chain using the latest in ML and MLOps on our newly developed Azure ML platform.
- End-to-end ownership:
Drive the full ML lifecycle from problem definition to model deployment and iteration in production
What's in it for you?
- 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-Coles 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 Coles 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 Coles Group shares.
About the recruitment process
We're continuing to build a gender equitable team, and a culture that is just as diverse, inclusive and welcoming as the communities we serve. We are committed to creating a workplace that is safe and respectful for our team. We encourage applications from people of all ages, cultures (including Aboriginal and Torres Strait Islander peoples), abilities, sexual orientation and gender identities.
We're happy to adjust our recruitment process to support candidates with disability. For further information and additional contact details visit the 'Our Recruitment Process' section of our careers site or email
Job ID: 159741
Employment Type: Full time
