Machine Learning Infrastructure Developer

1 week ago

Sydney, New South Wales, Australia beBeeMachineLearning Full time $180,000 - $250,000

We are seeking a skilled Machine Learning Infrastructure Developer to join our team. As a key member of our infrastructure team, you will design and implement scalable machine learning infrastructure that supports the development and deployment of AI models.

Key Responsibilities:
  • Design and develop highly available and scalable ML infrastructure.
  • Automate deployment and monitoring of ML models using scripting languages like Python and Bash.
  • Collaborate with data scientists and engineers to integrate ML models into applications.
  • Develop and maintain CI/CD pipelines for ML projects using tools like Git and Docker.
  • Optimize resource usage and cost-efficiency of ML infrastructure.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or related field.
  • 4-5 years of experience in ML Ops or related roles.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
  • Proficiency in scripting and automation (e.g., Python, Bash).
  • Strong understanding of ML lifecycle and deployment strategies.
Preferred Skills:
  • Familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with infrastructure as code (e.g., Terraform, Ansible).
  • Strong software engineering skills, including version control (Git) and collaborative workflows.

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