Senior Machine Learning Engineer

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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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