At a Glance
- Tasks: Build and deploy ML Ops solutions on AWS for a critical government agency.
- Company: Join a dynamic team focused on impactful projects in the public sector.
- Benefits: Competitive pay rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with a talented team and contribute to innovative solutions.
- Why this job: Make a difference by solving challenging problems that benefit millions of Australians.
- Qualifications: 4+ years in ML Ops/DevOps with AWS experience; security clearance required.
We are hiring a ML Ops / Machine Learning Engineer who has come from a strong DevOps Engineering & AWS Cloud platform background for a 12 Month contract (with possible 12 month extension). This is for a critical Government Agency and due to requirements for security clearance (up to Negative Vetting 1) - any applicant must either have held an Australian security clearance before or be an Australian Citizen eligible to obtain NV1.
Location: Sydney, Melbourne, Geelong, Brisbane, Canberra or Adelaide
Hybrid Work: Typical hybrid arrangement is 2-3 days in office, 2-3 days WFH per week
Pay Rate: $750 - $950 per day (including super, or plus GST if you have a Pty Ltd)
About the team: You will work in cross-functional squads with a small, but highly technical team of Data Scientists, Analytics and Data Engineering professionals, including experienced DS/ML Leaders working in squads. The team is growing and this role will be focussed on ML Ops, DevOps & some LLMOps for the AWS cloud platform that the Data Science team work on. They are on their journey towards more maturity - so you will have plenty of room to bring in and build out new services and best practices for reliable, secure, scalable, performant platform and tooling to deploy both traditional ML and GenAI solutions.
Minimum experience / skill requirements:
- No less than 4 years of professional experience in ML Ops, DevOps, ML Engineer, Cloud Engineer and Platform Engineer roles - ideally working in AWS stack primarily
- More than 2 years experience using AWS Cloud services with responsibilities for platform build, CI/CD, supporting ML and Data Science (and/or AI) deployment within an enterprise or government environment
- Experience with IaC - CDK, Terraform and/or CloudFormation
- Experience for 1 year (minimum) working alongside Data Science, ML and AI teams
- Current/past Baseline Clearance or current Australian Citizen to obtain required security clearance
About the mission: This team does critical, innovative and highly impactful work - challenging problems that when solved, help out millions of Australians. Use cases can vary greatly - your role will be in helping build out the platform and services in AWS Cloud at enterprise standards and using best practices (CI/CD, IaC, knowledge of security, etc).
ML Ops Engineer in Sydney employer: Talent Insights Group
Join one of Australia's leading healthcare businesses as a Data Architect and Governance Lead, where your expertise will directly impact the lives of many. Enjoy a flexible and supportive work environment that fosters innovation and collaboration, while also providing ample opportunities for professional growth in the dynamic field of data management. With a focus on meaningful projects and a commitment to excellence, this role offers a unique chance to shape the future of data governance and architecture in healthcare.
