Senior Machine Learning Engineer

Posting date:  1 Dec 2024
Job requisition ID:  44251
Location: 

Sydney, NSW, AU Melbourne, VIC, AU

Workplace Type:  Hybrid

Create impact as a Senior Machine Learning Engineer.

 

Join the largest general insurance group in Australia and New Zealand Insurance, so much more than you think.

 

YOUR ROLE


This role will be part of Ambiata AI Engineering team. 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

 

As a Senior 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 will lead the development and productionisation of 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 optimizing generative AI models using advanced Prompt Engineering techniques such as RAG or ReAct, as well as develop 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 opportunity, and the role can be based in Sydney or Melbourne.

 

ABOUT YOU 


•    Experience in ML engineering and operations
•    Expertise in setting up independent end to end LLM-native solutions based on Advanced Prompt Engineering and RAG using open-source components, including Docker, LangChain, LangGraph, LlamaIndex, data ingestion pipelines, embeddings and vector databases, and prompt engineering
•    Strong software engineering skills in Python, with a solid understanding of production and operationalisation of AI software products
•    Proficient in building data pipelines, ML pipelines, and model deployment frameworks using Docker, Kubernetes, REST APIs, real-time processing, and cloud infrastructure
•    Experience with public cloud ML model development and pipelines (GCP and/or AWS preferred), along with some DevOps skills for infrastructure automation and CI/CD pipelines
•    Familiarity with ML toolkits like Keras, TensorFlow, Scikit-learn, PyTorch, and advanced AI/ML methodologies, including large language models like OpenAI GPTs, Azure OpenAI, Claude, and Gemini

 

Applications close on Sunday, 8 December 2024 at 23:59pm. 
 

Joining IAG you’ll have access to: 
•    Boosted superannuation with 13% as standard 
•    Up to 50% off personal insurance, including home and motor insurance
•    A certified Family Inclusive WorkplaceTM  
•    Energy transition opportunities to help us be net zero by 2050 
•    Welcome Back cash bonus when returning from parental leave  

 

About Us

 

We’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.  

 

Learn more about who IAG is here.