About the role Work with a top Global Organisation which has been around for over 100 years and be part of something big!
This is an exciting opportunity to join a leading engineering team in Australia and work on multiple initiatives which will transform the way the organisation services its customers.
You will play a significant role in providing world-class technology solutions for this business division, including building capabilities for Gen AI as part of the AI platform team.
What will you be doing?
Design and Development: Design, build and implement scalable ML/AI solutions into production.
Ensure quality coding practices, including test-driven development, unit testing and secure coding Automation & CI/CD: Develop and manage CI/CD pipelines for ML models and infrastructure using DevOps best practices Cloud Infrastructure: Design and manage scalable ML infrastructure on AWS, with good experience in infrastructure as a code (EKS) Architecture: Integrate ML/LLM capabilities into existing architecture, enhancing overall system functionality and performance Security & Compliance: Ensure secure coding practices, including DevSecOps, data privacy and compliance when handling ML models and pipelines.
Collaboration: Work closely with Data Scientists, Architects, Engineers, BAs and product teams to integrate ML solutions into business applications What are we looking for?
Growth mindset – somebody eager to learn and keen to develop and grow Over 5+ years demonstrated experience as a ML Engineer Expertise with MLOps, LLMOps and DevOps Highly experienced in AWS cloud, including IaaC, AWS CDK Experience across production of LLM models and Prompt Engineering (Familiarity with RAG is a nice to have) Proficient in Engineering with Python, SQL Good knowledge of containerisation and CI/CD Structured in your way of work with good documentation Excellent communication skills – ability to work across different teams and engage with stakeholders Benefits Work on cutting-edge ML and AI projects with top-tier engineers Opportunity to shape the ML/AI strategy for a growing organisation Hybrid working (3 days in office) with a truly supported working environment Initial 6 months with view to extend or go perm – they want to keep you!
How to Apply If you are passionate about building scalable and production-ready ML solutions, we'd love to hear from you.
Reach out to Imogen on ****** or click Apply!
You must reside in Sydney and have full working rights