AI/Robotics & Machine Learning Engineers - New Zealand (All flex considered)

Auckland, New Zealand

Job Description

#Closer #Braver #Faster

At IAG, our purpose is to make your world a safer place. We are customer led and data driven and believe we have important responsibilities to enable the communities and people we service to be safer, stronger and more confident.  In order to deliver on this purpose, we expect our people to demonstrate the IAG Spirit, take reasonable care for their Health & Safety and to celebrate and respect diversity in all its forms. 

We are looking for multiple AI/Robotics and Machine Learning Engineers to join our team in New Zealand to contribute to the delivery of customer centric, data driven and digitally enabled IAG products and services

Ambiata is an Australian-based data science company which provides large-scale data-processing pipelines for machine learning applications. We work in a challenging and complex field, bringing machine learning and data processing together at scale.  

We are looking for engineers across AI/Robotics and Machine Learning disciplines who possess an understanding of Bayesian statistics, experience of designing and building machine learning pipelines and is proficient with Python.

Depending on your specific role and level you will be to help us build algorithms, tools and systems to help extract meaning from our clients’ data. We have a particular focus on extracting causal relationships by combining experimental design with advanced learning algorithms, and you will implement systems to enable this, bringing algorithms from exploration and evaluation through to production. You will be expected to stay up-to-date with the latest developments in the field, including considering the ethical implications of our work in partnership with the Gradient Institute.


Key Responsibilities
Depending on your role and level your responsibilities may include:

  • having a broad understanding of machine learning algorithms and approaches, and how they are implemented in some current machine learning tools;
  • having good mathematical skills, in order to understand and work with the statistical methods and algorithms we are using to understand customer behaviour;
  • being able to collaborate with data engineers to build data and model pipelines and systems;
  • demonstrating end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created;
  • building algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production;
  • contributing to the creation of novel machine learning solutions to unique client problems;
  • researching and implement best practices to improve the existing machine learning infrastructure; and
  • liaising with stakeholders to analyse business problems, clarify requirements and define the scope of the resolution needed; and provide support to other engineers and product managers in implementing machine learning in our products


Role experience and capabilities

Depending on role and level the experience and capabilities we look for may include some or all of the following:

Technical experience & capabilities:

  • Programming experience in Java, Scala, Python, or C;
  • Usage and deployment experience of Machine Learning frameworks such as TensorFlow, PyTorch, scikit-learn, ML4J
  • Knowledge of Apache Spark, Apache Kafka or other distributed computing systems;
  • Advanced mathematics skills (e.g. linear algebra, Bayesian statistics);
  • Strong written and verbal communications; 
  • Knowledge of Docker and Kubernetes; and
  • Experience with at least one cloud provider AWS, GCP and/or Azure.
  • Degree in Computer Science, Mathematics, Statistics or a related discipline, or equivalent industry experience


Key delivery capabilities:

  • Strong analytical and problem solving skills;
  • Open to self-learn new technologies and plug them in delivering quicker, faster & cost- effective solutions;
  • Experience with agile development;
  • Ability to operate autonomously; and
  • Good communication skills, both written and verbal.


About Us
At IAG, we believe that everyone has a unique point of view to share, shaped by their life experiences, cultures & passions. We celebrate and commit to:
#Proud to be me – we value difference, not sameness
#Together – harnessing our collective wisdom enables us to be our best for our customers & each other
#No boxes – it’s not about labels, boxes or categories. It’s about building a diverse and inclusive mindset into everything we do
IAG is the largest general insurance group in Australia and New Zealand, with a growing presence in Asia. IAG owns some of the region’s most trusted brands, including NRMA Insurance, CGU, SGIO, SGIC, WFI and Swann Insurance.

In addition to a diverse and inclusive culture, some of our benefits include 13% superannuation, 50% insurance discounts, flexible work and leave options, generous parental leave and return to work program, recognition and reward program, and various corporate partner discounts.


Continue the conversation

If you think this role might be for you, we want to hear from you. Please express your interest, making sure your Puffling profile is up to date with your current CV, ideal criteria for flex and salary expectations.

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