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Machine Learning Engineer

2 months ago

Melbourne, Victoria, Australia EnergyAustralia Full time
About the Opportunity

We are seeking a highly skilled Machine Learning Ops Engineer to join our Customer Data Office team. As the technical go-to for everything related to this functionality, you will play a crucial role in developing a world-class AI/ML tech stack and Machine Learning Ops capability.

Key Responsibilities
  • Partner with Data SMEs to deliver excellent solutions and drive the adoption of best practices in MLOps.
  • Lead large-scale experiments in the cloud, working closely with our skilled platform team to craft efficient tooling solutions.
  • Develop and optimize workflows for model training, feature engineering, data ingestion, and preprocessing to enable efficient and reproducible machine learning processes.
  • Design, implement, and maintain the end-to-end machine learning operational pipeline, including model development, deployment, monitoring, and maintenance.
About You

We are looking for a candidate with a strong background in a highly quantitative field, excellent programming fundamentals, and experience with DevOps tools such as Data Bricks, MLflow, and Azure DevOps. You should have a strong understanding of cloud environments and experience working with Agile teams.

What We Offer
  • A competitive salary and benefits package.
  • The opportunity to work with a talented team of professionals in a dynamic and inclusive culture.
  • Professional development opportunities and a comprehensive training program.
  • A flexible working environment with a focus on work-life balance.
How to Apply

If you are a motivated and experienced Machine Learning Ops Engineer looking for a new challenge, please submit your application. We look forward to hearing from you.