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Senior Machine Learning Engineer - Sydney, Australia - Woolworths Group Limited
Description
Senior Machine Learning Engineer
About us
Woolworths Group is an Australian food and everyday needs retailer employing 1900,000 team members across Asia Pacific, serving over 20 million customers across our brands every week. With more than 1,400 stores across Woolworths Supermarkets, Countdown Supermarkets (New Zealand) and BIG W brands, B2B business serving wholesale and export markets, and a range of fast-growing eCommerce businesses, Woolworths Group is Australia and New Zealand's largest retailer.
We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we're excited about the future as we unlock the power of data to reimagine retail.
Through this partnership, we've created a new business called wiq who will harness the best of Woolworths Group and Quantium to reimagine retail by solving the most complex problems using data and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.
Role Details
Swift execution of Big Data processing, Machine Learning and ML Ops best practice on terabytes of data from the largest Australian retail is what this role is about. Working as part
of the ML Development chapter and closely collaborating with Data Scientists, be prepared to build Cloud based cutting edge ML platforms, pipelines and experiment with Big Data and
ML tech available on the market.
The team has a culture of its own, which involves an innate desire to do things differentlytrying to find the best solution for business needs and push tech to the limit. No matter how
experienced you are, be prepared to learn a lot
The primary goal of this role is to help design and build a state of the art Machine Learning Platform working collaboratively with Data Scientists and other ML developers. The role will
report to a Machine Learning Chapter Lead. There is an option to be located in the Company's Surry Hills or Norwest offices in Sydney.
Key Responsibilities
● Design and implementation of Big Data and Machine Learning platforms, pipelines and tooling
● Grow ML chapter capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science products
Minimal Requirements :
● Bachelor or above degree in Computer Science
● 2+ years of commercial software development experience
● Good communication and stakeholder management skills
● Solid Python and SQL
● Hands-on Linux
● Solid knowledge of data structures & algorithms
● Practical experience with ML algorithms, techniques and packages
Ideal candidate:
● Kubernetes and Argo/Kubeflow experience
● Experience of building production grade ML feature stores, model stores or ML pipelines in GCP or AWS
● GCP Cloud Engineer or above level of certification
● Solid ML Ops, SRE or DevOps experience
Grow with the Group
As an inclusive, team-first company
