Senior Machine Learning Engineer

1 day ago

Melbourne, Victoria, Australia Equifax Full time $120,000 - $180,000 per year

What you'll do

  • Build and maintain robust ML pipelines for model training, deployment, and monitoring.

  • Collaborate with data scientists and stakeholders to understand business problems and translate them into machine learning solutions.

  • Ensure data quality and pre-process complex datasets for model consumption, including feature engineering and selection.

  • Stay up-to-date with the latest advancements in AI/ML, particularly within GCP, and propose new solutions to drive innovation.

  • Provide guidance and mentorship to junior team members.

What experience you need

  • BS degree in a STEM major or equivalent discipline.

  • 5+ years of experience in machine learning engineering or related experience

  • Proficiency in Python and SQL, including experience with relevant ML frameworks

  • Intermediate understanding of GCP, especially services like Vertex AI, Dataflow, and Composer.

  • Proven experience in the end-to-end lifecycle of building and deploying machine learning models.

  • Experience with CI/CD integration for automated model deployment.

  • Demonstrated ability to drive project success through effective stakeholder communication and management.

  • Solid understanding of statistical analysis and machine learning algorithms.

What could set you apart

  • GCP Professional Machine Learning Engineer Certification.

  • Deep knowledge of cloud security and compliance for ML workloads.

  • Hands-on experience with Dataflow, Composer, Vertex AI, and API development for model serving.

  • Expertise in MLOps (Machine Learning Operations) best practices.

  • Experience with advanced ML techniques, such as deep learning or reinforcement learning.

Primary Location:

AUS-MelbourneAUS-Sydney-Blue-Street

Function:

Function - Data and Analytics

Schedule:

Full time

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