ML Engineer

ML Engineer

**Please no recruitment agencies**

A new adventure awaits…

Our Technology team is critical to progressing Zurich towards being Australia’s leading Digital Insurer. The Technology strategy focuses on strengthening foundations through security, stability and scalability, builds for the future through enabling agility, simplicity, efficiency and enables the art of the possible through innovation and digitalization.

Let’s create a brighter future together, let’s make a difference

We are looking to recruit seasoned ML Engineers to leverage their expertise in AWS Cloud Technologies, Python programming, NLP, Language Modelling, Machine Learning, Data Extraction, data pipeline build & orchestration and Application Hosting.

This role offers the opportunity to drive data-driven decision-making and predictive analytics within our organization, with a preference for professionals with a background in the insurance industry.

You will:

• Design and develop machine learning models to solve specific business problems in insurance
• Spearhead the use of AWS tools like Sagemaker, Textract, Comprehend, and Lambda to craft scalable data solutions and fine-tune data workflows.
• Collect, pre-process, and explore large datasets to extract meaningful insights
• Leverage machine learning and deep learning methodologies to design predictive models and generate accurate forecasts.
• Train and fine-tune machine learning models to optimize performance
• Collaborate with cross-functional teams to integrate machine learning solutions into solutions (products and services)
• Monitor and maintain machine learning systems to ensure optimal performance and scalability
• Develop and deploy Lambda APIs, facilitating seamless data integration and accessibility for various stakeholders.

Important to your success - let's grow together

In order to be successful in the role, you will have the following:

• Bachelor's degree in Computer Science, AI, and/or Math/Physics, with a preference for candidates holding a master's degree.
• Multiple years experience in the field of ML Engineering
• Experience with machine/deep learning, NLP, and LLM frameworks
• Strong understanding of machine learning algorithms, large language models and statistical modelling
• Strong programmer, with proven ability in building and productionising ML solutions
• Expertise in programming languages such as Python, Java, or C++ especially in data pipeline and predictive model development.
• Strong track record with data pipeline build and orchestration and deploying real time and large scale AI/ ML solutions on cloud environments (pref AWS)
• Proven ability to build APIs for seamless data integration and retrieval.
• Experience with Snowflake for data warehousing and analytics and experience with AWS tools like Sagemaker, Textract, Comprehend, and Lambda for comprehensive data management, extraction, and analysis will be a significant advantage
• Previous experience in the insurance industry is highly desirable.

We are looking for a hands-on, team-oriented personality with a passion for technology- and business-driven innovation and who wants to work with a team of talented AI experts, machine learning engineers, data engineers, backend developers, ML Ops professionals, architects, and AI Governance specialists.

Belong. Zurich is here to support you

5 weeks leave per year for permanent staff through our new Z leave initiative, as well as 15 days personal/carer’s leave (as we empower our people to manage their own wellbeing); Grow, and thrive in your career (we support and encourage it) with award winning training programs; Work with global, diverse, and inclusive teams; Explore your passions, fuel innovation, drive equity, collaborate and make a positive difference beyond your role; 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; Access to Family Care (parental leave); Volunteer; Work in our state-of-the-art Green Star rated offices (when you are in the office); and dress for your day. We also plant a tree for every new employee – one of many local initiatives driving our contribution to ambitious global sustainability targets…

…We could go on, but the main point is that Zurich is a great place to be, where you can truly belong and thrive.

Zurich is an equal opportunity employer. We are committed to ensuring that our recruitment process is fair and accessible for all candidates. If you require any special accommodations to participate in our recruitment process, we encourage you to please let us know at the time of your application.

So, if you want to come on an adventure that will build a brighter future together, and feel a sense of togetherness, then please apply today to start your adventure