The Machine Learning Engineering Manager is the foundational engineering lead within icare’s Data Science and AI function. The role begins as a hands-on technical lead responsible for establishing robust ML engineering, MLOps and LLMOps practices that enable secure, reproducible, and reliable deployment of AI systems
Benefits
- A corporate wellbeing program with subsidised gym membership, free flu vaccinations and health check programs
- 17.5% annual leave loading
- icare day – access to an extra day’s leave
- Comprehensive learning and development support aligned to icare’s Core Capabilities.
- Our People Awards - On-the-spot Recognition, Quarterly Values Awards & Our People Annual Awards
- Access to our Employee Assistance Program
Duties
It’s an exciting time at icare where no two days are the same. In this role you will
- Deliver data and Machine Learning and AI models that align to the overall technical, data and AI strategy, making trade-offs where appropriate
- Deliver coherent and technically feasible ML, LLM and AI system designs with multiple components interacting across API or system boundaries
- Design ML, LLM and AI system metrics and an implementation and monitoring plan to ensure ML, LLM and AI systems are performant through the lifetime of the system
- Identify and resolve technology limitations, designing sustainable long-term solutions that minimise risk and maximise value
- Drive innovation by formulating complex business objectives into intelligent and scalable ML, LLM or AI solutions
- Drive the creation and maintenance of standards to ensure quality delivery of the ML, LLM and AI solutions across the organisation
- Formulate plans to improve ML Engineer and Data Scientist efficiency as measured by cycle time, or other similar measurements
- Provide constructive feedback and hands-on technical guidance to members of the Data Science and Machine Learning engineering teams through the lifecycle of an ML, LLM or AI project
- Partner with the Head of Data Science and AI and the Data Science Manager to set the cultural tone for the team, supporting an environment of psychological safety, empathy and productivity
- Help the ML Engineering team build relationships across icare, creating connection across teams
- Structure the ML Engineering team so the right people are in the right roles with clearly defined responsibilities
- Foster the career growth of ML Engineers and Data Scientists through coaching, mentoring and on-the-job-experiences
- Interview and assess candidates to help us build a diverse and talented ML Engineering team
- Partner with Data Platforms and Insights, Architecture, Security, Privacy, and Governance to ensure ML, MLOps, LLMOps and practices align with enterprise standards
- Build deep cross-functional relationships, facilitate the right conversations, balancing multiple perspectives, and engage in productive conflict with thoughtful questioning/challenging, disagreeing and committing when necessary to move decisions forward
- Advise on the technical ML, MLOps. LLMOps components of an enterprise level AI strategy
- Resolve cross-team dependencies to ensure the successful execution of ML, LLM, and AI projects
Skills & Experience
- Minimum 8 years’ experience in Machine Learning Engineering, Machine Learning Operations, or DevOps roles
- Experience leading or mentoring teams.
- Experience deploying ML systems into production environments (cloud or hybrid).
- Experience collaborating with Data Scientists, Architects, Security, Privacy, Governance and Platform teams.
- Experience with AWS and/or Snowflake based ecosystems.
- Experience working in an Agile Scrum environments and in the use of work tracking tools such JIRA.
Culture
We know our strength comes from the diversity of our people and would encourage people with different experiences and backgrounds to apply. We are committed to our people’s development so the people of NSW can thrive.
About the Company
We care for the people of NSW, building confidence and trust so our communities can thrive. We make the complex simple, so our schemes deliver better outcomes for people and communities. Whether a person is severely injured in the workplace or on our roads, icare supports their long-term care needs to improve quality of life, including helping people return to work.
- For more information about icare visit our website
- icare operates a direct sourcing model so no agency introductions will be accepted
- We are a Circle Back Initiative Employer – we commit to respond to every applicant
- A talent pool may be created through this recruitment process.
Please note that you must be an Australian citizen, permanent resident of Australia, New Zealand citizen with a current New Zealand passport or have unrestricted working rights to apply for this role.
