Job Description
As a Machine Learning Engineer, you will play a critical role in driving innovation and improving customer experiences through the development of cutting-edge machine learning solutions.
Our team is responsible for building and deploying large-scale enterprise solutions that enable business transformation and digitalization. We are looking for a skilled and passionate engineer who can collaborate with cross-functional teams to design, implement, and deploy scalable ML/AI solutions into production.
The ideal candidate will have hands-on experience with MLOps/DevOps Engineering, proficiency in Python, SQL, and AWS Cloud Solution Development, as well as a strong background in ML concepts and applications.
Additionally, you will be responsible for establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails to ensure efficient delivery of outcomes.
This is an exciting opportunity to work on transformative projects and contribute to the growth and success of our organization.
Required Skills and Qualifications:
* Hands-on MLOps/DevOps Engineering experience (Proficiency in Python, SQL, etc.).
* Proficiency in AWS Cloud Solution Development, Security, and Infrastructure as Code (IaaC), preferably AWS CDK.
* Experience in Machine Learning, including the productization of LLM Models and Prompt Engineering (Familiarity with RAG architectures is preferable).
* Experience with containerization and Ci/CD principles for automation and deployment.
* Strong background in ML concepts and applications, and knowledge of MLOps best practices.
* Growth mindset and DevSecOps thinking, including secure coding practices.
* Familiarity with system integration, APIs, etc.
* Experience working within financial services and/or insurance (preferred)
* Experience working in an Agile environment
Benefits:
* 5 weeks leave per year for permanent staff through our Z leave initiative, as well as 15 days personal/carer's leave (as we empower our people to manage their own wellbeing), plus access to Family Care (parental leave)
* Hybrid working arrangement - office 3 days and WFH 2 days p/w standard for FT employees
* Access programs to stay healthy and feel healthier along with receiving a AUD$500 wellbeing payment per year, plus a AUD$295 new starter e-voucher for your WFH set up (flex work - hybrid working), and other great benefits through our Shine portal
* Grow, and thrive in your career (we support and encourage it) with award winning training programs. As our strength is our people and we value your individuality
* Work with global, diverse, and inclusive teams; Explore your passions, fuel innovation, drive equity, collaborate and make a positive difference beyond your role
* Global mobility opportunities across more than 200 countries worldwide
* Volunteer and work in our state-of-the-art Green Star rated offices (when you are in the office) and dress for your day
* We plant a tree for every new employee
* Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive workplace; Silver AWEI employer, Pride in diversity… to name a few.
Other Opportunities:
We offer a collaborative and supportive work environment, with opportunities for professional growth and development. Our company values diversity and inclusion, and we welcome applicants from all backgrounds.
Join us and become part of a dynamic team that is shaping the future of technology and innovation.
Keyword: MachineLearningEngineer