EML is a leading Workers Compensation and Personal Injury Claims Management business. Our goal is to help people get their lives back through ongoing support during their return-to-work journey. We continue to experience ongoing growth and now have over 4,000 dedicated employees. We foster a learning culture that allows for us to continually invest in our employees ensuring a long-term career here at EML.
THE OPPORTUNITY
As we expand, our Technology team is growing rapidly, driving innovation in AI for Workers Compensation. We're transforming the industry with cutting-edge solutions that enhance claims management, improve outcomes, and streamline processes.
At EML, we foster a learning culture, investing in our people to build long-term careers while shaping the future of technology in our sector.
We are seeking a talented and passionate Machine Learning Operations (MLOps) Engineer to join our growing AI team. In this role, you’ll play a key part in driving multiple AI initiatives that will transform the way our organisation services its customers.
You’ll be at the forefront of operationalising machine learning and AI models, ensuring they are seamlessly deployed, monitored, and maintained within scalable, secure, and reliable production environments.
Working closely with data scientists, engineers, and business stakeholders, you’ll help integrate AI-driven solutions into core business processes, delivering tangible outcomes that support both SME and Enterprise businesses.
This will be a full time, 12 month contract position based in the Sydney office, with flexibility to work from home up to 3 days per week.
YOUR RESPONSIBILITIES
- Design, develop, and optimise MLOps pipelines to support the full lifecycle of ML/AI models, including deployment, monitoring, and retraining, following DevOps and MLOps best practices.
- Build scalable, secure, and cost-effective cloud infrastructure for ML/AI solutions using Infrastructure as Code, ensuring systems meet functionality, performance, and reliability requirements.
- Ensure compliance with security and data privacy standards across all MLOps activities, proactively addressing vulnerabilities and operational risks.
- Collaborate with cross-functional teams to understand business requirements and seamlessly integrate ML/AI models into production applications and workflows.
- Develop and maintain robust logging, monitoring, and alerting solutions for ML/AI models in production, troubleshooting model and infrastructure issues as they arise.
.ABOUT YOU
- 3+ years of demonstrated experience in MLOps.
- Extensive experience in deploying ML/AI models on private and public cloud platforms, with a focus on AWS services such as S3, SageMaker, EKS, Lambda, API Gateway, VPC, and CloudWatch.
- Strong programming skills in Python, shellscript, and Infrastructure as Code tools like Terraform or CDK (experience with C++ and CUDA is a plus).
- A solid understanding of MLOps and CI/CD pipelines for deploying ML/AI models, with hands-on experience in containerisation and Kubernetes.
- Extensive knowledge of ML algorithms and frameworks including PyTorch, TensorFlow, LLM, and generative AI (experience in computer vision is a plus), along with API development tools and frameworks such as REST and FastAPI.
- Strong analytical, critical thinking, and communication skills, with a Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
WHAT WE OFFER
We stand together as equals. EML is an equal opportunity employer so by coming to work for us, you will be part of a culture that celebrates diversity and inclusion. We are committed to maintaining a workplace where everyone feels valued and where we show respect, integrity and honesty.
EML provides career opportunities and great employee benefits, including:
• A vibrant, collaborative innovative team culture
• Flexibility with opportunity to WFH when you are fully trained in your role.
• A corporate wellbeing program with discounted health insurance and gym membership
• Access to discounts at over 350 retailers through our Rewards Hub program
• Entitlement to an annual tenure and performance-based recognition reward
• Comprehensive learning and development support
• Companywide events to celebrate success.
• Quarterly Reward and Recognition Awards
• Up to 16 weeks paid parental leave, plus super
We value our people and are committed to supporting our employees by investing in their professional development and providing generous employee benefits. If this position is of interest to you, please apply now.
