Machine Learning Engineer
vor 4 Stunden
IAG is not only the largest general insurance group in Australia and New Zealand, underwriting over $AUD13 billion of premium per annum, we're also a tech and research facility, a hub for climate change experts and a centre of resilience design.
We chat over coffee with customers, advocate for them in the corridors of Parliament and back them up in the community when life's moments hit hardest.Create impact as an Ambiata Machine Learning Engineer.Join the largest general insurance group in Australia and New Zealand.Part of IAG, Ambiata is an AI and engineering expert unit which provides Machine Learning (ML) and Artificial Intelligence (AI) platforms, products & solutions as well as supporting software infrastructure to IAG (as our parent company) and in a limited fashion to the market.
We focus on ethical automated decision systems leveraging advanced AI/ML/GenAI technology.Your RoleAs a Machine Learning Engineer, you'll play a key role in the Ambiata AI Engineering team, working within cross-functional squads alongside Data Scientists, Product Owners, Business Owners, and Software and Cloud Engineers.
Your focus will be designing, developing, and deploying ethical AI solutions across IAG divisions.You'll develop and productionise AI/ML models, including containerization, deployment, versioning, and monitoring their performance.
In addition, you'll develop solutions around Generative AI models, such as Large Language Models through open-source deployment or API integration.
This involves integrating and optimising generative AI models using advanced Prompt Engineering techniques such as RAG or ReAct, as well as developing specialised LLMs or SLMs through fine-tuning.
Outside of active projects, you'll be encouraged to focus on skill development, continuous learning, and sharing knowledge both within and outside the organization.This is a permanent role, and we welcome applicants from Gadigal Country (Sydney) or Naarm (Melbourne).About YouMinimum 1 year of experience in ML engineering and operations in a commercial environment or 2+ years in academia.Proven expertise in setting up independent projects for RAG using Open-source tools like Docker, LangChain, LangGraph, LlamaIndex, data ingestion pipelines, and prompt engineering.Strong understanding and experience with ML in production, software engineering skills in Python.Experience building data pipelines, ML pipelines, and model deployment frameworks (Docker, Kubernetes, REST APIs, cloud infrastructure).Experience with ML tools (Keras, TensorFlow, ScikitLearn, PyTorch) and working with ML models on public cloud platforms (GCP, AWS preferred).Strong communication skills, ability to collaborate with technical and non-technical teams, business-driven problem-solving, and recent experience with advanced AI/ML methodologies like OpenAI GPTs, Azure OpenAI, Claude, or Gemini.Applications close Wednesday 2 January, 23:59pm AEDT.Joining IAG, you'll have access to:Boosted superannuation with 13% as standardUp to 50% off personal insurance, including home and motor insurance5 myLeave days per year on top of annual leaveWork from home and many more flexibility options with myFlexIndustry-leading 20 weeks paid parental leave, available from the day you start, for both primary and secondary carersDedicated career growth programs, including the award-winning IAG AcademyDiscounts on everyday and special occasion itemsABOUT USWe're part of the largest general insurance group in Australia and New Zealand.
Together our family of brands turns the IAG purpose of making your world a safer place into action by helping, supporting ambitions, and making insurance accessible.We're guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses and communities.
Collaborating on Indigenous-led solutions that enable growth, develop resilience and create meaningful change, and support the leadership development of our Indigenous employees.As part of IAG, you'll enjoy a world of opportunity, growth, and stability and work in an environment that celebrates all viewpoints shaped by life experiences and cultures.
Together we're passionate about social issues, climate change resilience, big tech, and being an inclusive workplace.We're ready for you.
Apply today.
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