Lead Machine Learning Engineer
Melbourne, Australia
Applications have closed
BlueScope
BlueScope is a leading steel supplier and manufacturer for the building and construction industries, delivering high-quality steel products globally. Find out more!Company Description
BlueScope is an Australian-born, global success story, spanning 18 countries, with a team of over 15,000 people. We’re driven by innovation and are proud that the technologies in our products and brands, like COLORBOND® steel, inspire and protect everything from hospitals and bridges to stadiums and homes.
Job Description
This role contributes to Our Purpose by using Digital Technology to build smart solutions for our business and customers. Responsible for enablement of the Advanced Analytics Team by developing platforms and processes to allow the delivery, as well as contributing to productionising existing DS solutions.
The Opportunity
A member of the Advanced Analytics Team and reporting to the Advanced Analytics Manager your focus will be to partner with the broader Digital Community to deliver value through the implementation of Advanced Analytics projects, together with creating tangible business value through the planning, managing and delivery of high-quality applications and digital solutions.
You will provide hands-on technical leadership in design and implementation of Data Science & AI ecosystem including platforms, tools, and processes.
Other responsibilities include:
- Contribute to evolve team coding and deployment standards and frameworks to keep pace with industry best practices;
- Through cross discipline collaboration, ensuring ML platform follows best practices in areas such as networking, data engineering and integration;
- Help to design and implement approaches that improve automation, reliability, supportability, and performance of Data Science applications.
- Help to align BSL ML Deployment capabilities with industry best practices
- Design commonly used modules to improve productionising of Data Science applications and coach the broader team to utilise.
Qualifications
You are a natural problem solver, can think outside the box to use technology to create simple solutions to complex problems. You will be working with cross functional teams and will have excellent interpersonal and negotiation skills.
- Strong knowledge of Cloud architecture and capability is essential and you will be collaborating with Networking and Security functions
- Excellent coding skills, Python & SQL is a must, others optional
- Experience in designing and implementing complex cloud solution through infrastructure as code.
- Cloud (Azure/AWS/ GCP) commercial experience / professional level certification
- Experience in building production grade ML pipelines in Azure DevOps.
- Experience in building production grade Python Data Science applications..
Additional Information
The BlueScope Difference
A career at BlueScope provides the opportunity to make a difference – to you, to your team, to our customers, to transforming products, processes and brands, and to an organisation intent on shaping a better built environment for all our communities. At BlueScope, you will:
- make an impact both within the organisation and in the broader community
- create and deliver innovative products and solutions that shape the world we live in
- grow on a path of continuous learning and development
- enjoy the sense of belonging that comes from working with people who genuinely look out for one another
We’re dedicated to supporting our people - keeping one-another safe, rewarding successes, and helping individuals grow. We foster workplace flexibility and an inclusive work environment that welcomes people of all backgrounds. We’re committed to climate action and to helping shape a better future for all our communities; we are committed to Our Purpose, Creating Strength.
Come and discover us at bluescope.com/life-at-bluescope/.
Together we can make a world of difference.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure DevOps Engineering GCP Machine Learning Pipelines Python Security SQL
Perks/benefits: Career development
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