Machine Learning Engineer

A new transformational adventure awaits you…

Zurich's ANZ business has three core segments Retail, Group Insurance and General Insurance who have end-to end accountabilities to better serve their customers. They are enabled by Shared Services teams that have a large portfolio of responsibilities. Technology (IT), Sustainability, Agile & Continuous Improvement and Strategy & Strategic Execution form a portfolio.

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 modernising our technology architecture, innovation and enabling digitalization of experiences.

Our technology is and will continue to undergo a significant transformation and we are looking for energised, strategic leaders with deep technical expertise to help us navigate this exciting journey.

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

Your role as a Machine Learning (ML) Engineer will be to focus on productionizing Machine Learning (ML) and large language model (LLM) features. You will help build the ML/AI ecosystem from scratch, integrating the latest capabilities to enhance customer experiences and transform business operations. This role involves establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails. As an ML Engineer, you'll be contributing to the design and implementation of large-scale enterprise solutions while engaging other team members on modern best practices.

The ML Engineer reports to the ML Engineer Chapter Lead and is allocated to the AI Platforms team and ensure efficient delivery of outcomes, aligning with our North Star of being Australia's leading digital insurer.

You will also be responsible for the following:

• Design and implement scalable ML/AI solutions into production in collaboration with Architects, ML Engineers, Data Scientists, Business Analysts, and business partners, including risk, legal, and security teams.
• Develop automated MLOps/DevOps processes for continuous model training and evaluation pipelines, specifically for ML/LLM applications.
• Ensure the seamless integration of Zurich's current architecture with newly added ML/LLM functionalities, enhancing overall system capabilities.
• Foster a culture of quality coding practices, including test-driven development, unit testing, and secure coding awareness.
• Maintain an agile development mindset, appreciating the benefit of constant iteration and improvement.
• Maintain an agile development mindset, appreciating the benefit of constant iteration and improvement.
• Willingness to go beyond the comfort zone to try various experiments; demonstrate fail fast, learn, and improve attitude.
• Focus on business practicality and the 80/20 rule, aiming for a high bar for code quality while recognizing the business benefit of "having something now" versus "perfection sometime in the future."
  
  

Important to your success - Unlock your potential

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

• Hands-on MLOps/DevOps Engineering experience (Proficiency in Python, SQL, etc.).
• Proficiency in AWS Cloud Solution Development, Security, and Infrastructure as Code (IaaC), preferably AWS CDK.
• Experience in Machine Learning, including the productization of LLM Models and Prompt Engineering (Familiarity with RAG architectures is preferable).
• Experience with containerization and Ci/CD principles for automation and deployment.
• Strong background in ML concepts and applications, and knowledge of MLOps best practices.
• Growth mindset and DevSecOps thinking, including secure coding practices.
• Familiarity with system integration, APIs, etc.
• Experience working within financial services and/ or insurance (preferred)
• Experience working in an Agile environment
  
  

Belong. Zurich is here to support you

There are so many reasons why Zurich is a great place to be and the right choice for you, but here are just a few.

• 5 weeks leave per year for permanent staff through our Z leave initiative, as well as 15 days personal/carer's leave (as we empower our people to manage their own wellbeing), plus access to Family Care (parental leave)
• Hybrid working arrangement - office 3 days and WFH 2 days p/w standard for FT employees
• 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
• Grow, and thrive in your career (we support and encourage it) with award winning training programs. As our strength is our people and we value your individuality
• Work with global, diverse, and inclusive teams; Explore your passions, fuel innovation, drive equity, collaborate and make a positive difference beyond your role
• Global mobility opportunities across more than 200 countries worldwide
• Volunteer and work in our state-of-the-art Green Star rated offices (when you are in the office) and dress for your day
• We plant a tree for every new employee
• Not to mention our various employer of choice awards/memberships – WGEA; Family Inclusive workplace; Silver AWEI employer, Pride in diversity… to name a few.
  
  

We could go on, but the main point is that Zurich is a great place to be, where you can truly belong, be yourself, have work/life balance, and thrive in a supportive environment.

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 adventureSeniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesInsurance and Financial Services

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