Senior Machine Learning Engineer

1 day ago

Melbourne, Victoria, Australia Equifax Full time
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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

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