Senior Machine Learning BackendInfrastructure Engineer
Share
Job Location:
Auckland - New Zealand
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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. We are looking for a Senior Machine Learning Infrastructure Engineer who can scale our market-leading behaviour models enable the execution of scientific endeavors in a deep-learning dominant environment and extend the way we apply machine learning to all areas of the business. Were 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.
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. Were 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
- 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
- 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
Technical Requirements:
Infrastructure Skills:
What were looking for
- 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
- A confident understanding of data engineering best practices and AWS infrastructure
- Importantly we are looking for someone who is passionate about what they do and eager to learn
Why our team loves working at Halter
At Halter were committed to creating an environment where people thrive. We offer unlimited paid annual leave as well as additional wellness days. Each year every team member receives a $1000 self-development budget to invest in whatever fuels their personal growth.
We offer six months of fully paid leave for primary caregivers and four weeks of fully paid leave for secondary caregivers along with a range of additional family-friendly benefits. To support your wellbeing we offer subsidised health insurance through Southern Cross.
And finally everyone at Halter is an owner. Every employee is part of our stock ownership plan; when we succeed you share in that success.
Our office-first approach
Being office-first is a core pillar of our culture. We believe in-person connections are key to driving your own growth learning impact and building genuine long-lasting relationships.
Were office first not office only. This means that working from the office every day is our default setting but we flex when needed. Your growth learning and impact are truly unlimited here and a big part of that comes from being together solving problems innovating building context and constantly learning from each other.
We have a state-of-the-art dog-friendly office in the heart of Auckland City and a test farm in Morrinsville. Delicious snacks and drinks are readily available.
About Halter
At Halter were on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices and revolutionizing grazing with Halter. People join Halter to do meaningful work. Our team out-think out-work and out-care. Were committed to delivering real change in the world. Were backed to deliver on a mission that matters by Tier 1 investors including Bessemer Venture Partners DCVC Blackbird Promus Ventures Rocket Labs Peter Beck and Icehouse Ventures.
Join our team
If this opportunity sounds like you please apply below by sending your cover letter explaining why youre excited about this role and working at Halter along with your CV.
If you think you have what it takes but dont necessarily meet every requirement on this job description please still get in touch. Wed love to chat to see if youll be an epic fit!
Feel free to check out the careers page for more information on working at Halter and dont forget to follow us on LinkedIn & Instagram.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Active Directory Administration
- Animal
- Apparel
- Entry Level
- Jboss
- Inventory Management
About Company
Manage your pasture, virtually fence and shift your cows, monitor their health and detect heats. All through solar-powered collars and an easy-to-use app. Trusted by over 1000+ farmers.
