Senior Machine Learning Infrastructure Engineer
Job Description
Halter, a pioneering AgTech company backed by top-tier investors, is seeking a Senior Machine Learning Infrastructure Engineer to join their Auckland-based team. The role focuses on scaling market-leading behavior models and extending ML applications across the business. The position involves building and maintaining sophisticated ML infrastructure that underpins their innovative cattle management technology.
The ideal candidate will work on designing scalable ML pipelines, implementing MLOps practices, and managing data infrastructure while collaborating with data scientists to productionize models. They offer a unique opportunity to work on real-world problems with tangible impact in the agricultural sector, combining cutting-edge ML technology with practical applications.
The company provides an attractive work environment with a strong focus on in-person collaboration and culture. Benefits include comprehensive health insurance, generous parental leave, unlimited PTO, and equity participation. Halter's mission to revolutionize farming practices through AI and technology offers a chance to work on meaningful projects while being part of a high-growth technology scale-up.
The role requires expertise in cloud platforms, ML frameworks, and data engineering, with a strong foundation in Python and AWS. The company emphasizes both technical excellence and cultural fit, seeking candidates who are passionate about innovation and eager to learn. This position offers the opportunity to make a significant impact in an industry-transforming company while working alongside a talented and dedicated team.
Responsibilities For Senior Machine Learning Infrastructure Engineer
- 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
Requirements For Senior Machine Learning Infrastructure Engineer
- Strong proficiency in cloud platforms (AWS, GCP, Azure) and containerization
- 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 (SQL and NoSQL) and data warehousing solutions
- Stream processing and real-time data systems experience
- Strong track record as a machine learning engineer
- Experience working in agile development practice
Benefits For Senior Machine Learning Infrastructure Engineer
- State-of-the-art, dog-friendly office in Auckland city
- Southern Cross Health Insurance
- 6 months paid parental leave for primary caregivers
- 4 weeks paid secondary caregiver leave
- $1000 annual self-development budget
- Wellness leave and unlimited paid annual leave
- Employee stock ownership plan
- Office snacks and drinks
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