At a Glance
- Tasks: Design and optimise ML pipelines, deploy models at scale in Azure and Databricks.
- Company: Join Alinta Energy's innovative Data & AI Platforms team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting projects across trading, forecasting, pricing, and retail.
- Why this job: Make a real impact by advancing machine learning capabilities in a dynamic environment.
- Qualifications: Experience in ML engineering, MLOps, and collaboration with data scientists.
The predicted salary is between 123750 - 151250 $ per year.
Alinta Energy is seeking a Senior ML Engineer to advance our machine learning capabilities within the Data & AI Platforms team. You will design and optimise ML pipelines, deploy and monitor models at scale in Azure and Databricks, and champion MLOps across the team.
The role involves collaborating with data scientists and engineers to productionise research models, build scalable data workflows, and deliver ML-enabled solutions across trading, forecasting, pricing, retail and enterprise.
Senior ML Engineer: MLOps on Azure Databricks in Melbourne employer: Alinta Energy
At Alinta Energy, we pride ourselves on being a leading employer in the energy sector, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide flexible working arrangements, comprehensive benefits including energy discounts and wellness programs, and a culture that values diverse perspectives. Join us in making a meaningful impact as we navigate the transformation of Australia's energy landscape together.
