
Senior Machine Learning Engineer
1 day ago
- 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.
- 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.
- 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-Melbourne AUS-Sydney-Blue-Street
Function: Function - Data and Analytics
Schedule: Full time
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