Senior Machine Learning Infrastructure Engineer

About the role

Machine learning infrastructure underpins all of our data products, and enables R&D on highly complex systems with the potential to unlock untapped value. Currently we have two dedicated machine learning infrastructure engineers, and carry some key-person risk as a result. Increasing resource in this discipline will ensure we are running our ML initiatives at a maximum velocity, and minimizing risk associated with the quality of service provided by our predictive systems.

We are looking for a Senior Machine Learning Infrastructure Engineer who can scale our market-leading behaviour models, grow our team of data scientists, and extend the way we apply machine learning to all areas of the business. We're looking for people who are hungry to make an impact, are comfortable in a fast-paced environment, and love helping the people around them succeed.

What your day could look like

• Design and maintain scalable ML pipelines for training, validation, and inference
• Build and optimize model serving infrastructure with proper monitoring, logging, and alerting
• Implement MLOps practices including automated testing, deployment, and rollback systems
• Manage data pipelines and ensure data quality, lineage, and governance
• Optimize model performance and resource utilization across different environments
• Collaborate with data scientists to productionize models and research experiments
  Technical Requirements:
• Strong proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Experience with ML frameworks (TensorFlow, PyTorch) and serving systems
• Knowledge of orchestration tools
• Proficiency in Python, SQL, and Infrastructure as Code (Terraform)
• Experience with monitoring and observability tools
• Understanding of CI/CD pipelines and version control systems
  Infrastructure Skills:
• Database management (both SQL and NoSQL) and data warehousing solutions
• Stream processing and real-time data systems (Kafka, Spark Streaming)
• Model registry and experiment tracking systems
• Performance optimization and cost management in cloud environments

What we're looking for

• A solid track record working as a machine learning engineer, with examples of outcomes you're proud to have delivered
• A comprehensive understanding of the fundamentals and design systems behind building reliable, scalable and fit-for-purpose machine learning models and infrastructure
• Strong experience in Python and familiarity with development in a backend tech stack
• A strong understanding of data engineering best practices and AWS infrastructure
• Experience working in agile development practice, in a cross-functional development team
• Understanding of common development processes such as version control, continuous integration/delivery, code reviews, and pair programming
• Someone who is product-oriented and cares about customer experience, being able to solve real-life customer problems
• Importantly, we are looking for someone who is passionate about what they do and eager to learn

Why our team loves working at Halter

• Dedicate yourself to solving real-world problems alongside an epic team in a culture designed around growth.
• A genuine and shared connection to our mission to make a difference in the world.
• The pride of joining an iconic New Zealand technology company. The excitement, risk, and reward of a high-growth technology scale-up on the global stage.
• Our ideas are truly valued, we are able to move fast, and our impact is real.
• State-of-the-art, dog-friendly office that's been thoughtfully designed right in the heart of Auckland city. Did we mention dogs and cows?
• Healthy body, healthy mind. We're partnered with Southern Cross Health Insurance to support your well-being.
• We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
• Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
• Our time to recharge is valued, we're offered wellness leave and unlimited paid annual leave.
• We offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
• Delicious snacks and drinks are available for your daily flow..