Machine Learning Innovation Leader

2 days ago


Melbourne, Victoria, Australia beBeeMachineLearning Full time $120,000 - $180,000
Role Overview

We are seeking a highly skilled Machine Learning Innovation Leader to drive the development and maintenance of robust machine learning pipelines. This is an exceptional opportunity for an experienced professional to contribute their expertise in developing and maintaining innovative AI/ML solutions.

Main Responsibilities
  • Design and implement cutting-edge ML pipelines for model training, deployment, and monitoring.
  • Collaborate with cross-functional teams to understand business problems and translate them into actionable AI/ML strategies.
  • 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 and propose new solutions to drive innovation.
  • Provide guidance and mentorship to junior team members.
Required Expertise
  • Bachelor's degree in a STEM major or equivalent discipline.
  • At least 5 years of experience in machine learning engineering or related field.
  • Proficiency in Python and SQL, including experience with relevant ML frameworks.
  • Intermediate understanding of cloud platforms, 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.
PREFERRED QUALIFICATIONS
  • 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 best practices.
  • Experience with advanced ML techniques, such as deep learning or reinforcement learning.


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