Machine Learning Infrastructure Manager

6 days ago

Sydney, New South Wales, Australia beBeeCloud Full time $80,000 - $120,000
Job Title:

Machine Learning Operations Specialist

Job Description

This is a key position for overseeing the operational aspects of machine learning projects. The Machine Learning Operations Specialist will be responsible for ensuring seamless deployment, monitoring, and maintenance of ML models in production environments.

Responsibilities:
  • Implement and manage CI/CD pipelines for ML model development and deployment.
  • Design and architect scalable solutions on the AWS ecosystem to support high-performance ML workloads.
  • Develop and maintain Python scripts and integrations for ML model training and deployment.
  • Work with Docker, GitHub Actions, and Apache Airflow to automate ML workflow processes.
  • Collaborate with cross-functional teams to identify and implement process improvements.
Required Skills and Qualifications
  • Proven experience with AWS services, including Amazon SageMaker, AWS Lambda, and AWS Glue.
  • Strong proficiency in Python programming, with expertise in libraries such as scikit-learn and TensorFlow.
  • Hands-on experience with Docker, Kubernetes, and containerization.
  • Knowledge of MLOps best practices and ability to design and implement efficient ML workflows.
Benefits
  • Opportunity to work on cutting-edge ML projects and contribute to the growth of the organization.
  • Collaborative and dynamic work environment with opportunities for professional growth and development.
  • Competitive compensation and benefits package.
Others
  • Seniority level: Mid-Senior level.
  • Employment type: Full-time.
  • Job function: Engineering and Information Technology.
  • Industries: IT Services and IT Consulting.

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