Senior Machine Learning Engineer

4 weeks ago

Sydney, New South Wales, Australia Nuage Technology Group Full time

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Direct message the job poster from Nuage Technology Group

I build Data and Machine Learning teams for the best companies in Australia | Nuage Technology Group

The Role

Nuage has partnered with a dynamic scale-up to recruit a talented ML Ops Engineer. In this role, you will be instrumental in building and maintaining the infrastructure that supports machine learning models at scale. This is a unique opportunity to contribute to transformative technology that will drive the company's growth and innovation.

Responsibilities

  • Design, implement, and maintain scalable ML infrastructure.
  • Automate the deployment and monitoring of ML models.
  • Ensure the reliability and performance of ML systems in production.
  • Collaborate with data scientists and engineers to integrate ML models into applications.
  • Develop and maintain CI/CD pipelines for ML projects.
  • Monitor and troubleshoot production ML systems.
  • Optimize resource usage and cost-efficiency of ML infrastructure.
  • Stay updated with advancements in ML Ops and cloud technologies.
  • Document processes and best practices.
  • Provide training and support to team members on ML Ops tools and practices.

Your Background

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a 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.
  • Experience with monitoring and logging tools (e.g., Prometheus, Grafana).

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.
  • Prior experience working in a collaborative, fast-paced team.
  • Strong communication skills, both written and verbal.
  • Willingness to engage in continuous learning and professional development.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media

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