Machine Learning Workflow Engineer

2 days ago


Sydney, New South Wales, Australia beBeeAutomation Full time $200,000 - $240,000
Unlock the Power of Machine Learning Engineering

Machines learn through complex patterns and relationships, while operations teams make them happen efficiently. As a Machine Learning Operations Engineer, you will bridge the gap between data insights and actionable results.

Key Responsibilities
  • Implement scalable machine learning workflows using CI/CD pipelines and MLOps best practices.
  • Design efficient solutions on cloud-based infrastructure for seamless model deployment.
  • Develop expertise in Python scripting and integrating machine learning models with AWS services for automation.
  • Deliver high-quality ML solutions using Docker, GitHub Actions, and Apache Airflow for streamlined workflow management.
  • Familiarize yourself with cloud architecture, containerization, and DevOps principles for optimized infrastructure.
  • Deploy machine learning models using Amazon SageMaker or similar platforms for business value.
Required Qualifications
  • Prior experience with AWS services and Python programming languages for machine learning tasks.
  • Proficiency in containerization, automation tools, and version control systems for efficient workflow management.
  • Familiarity with cloud architecture, scalability, and security considerations for robust architecture.
  • Hands-on experience deploying ML models on cloud-based infrastructure.


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