ML Engineer: Predictive Agriculture & Systems

Halter Inc.; Auckland; Hybrid; NZD 140,000 - 200,000; Full time

Job summary

Halter is building cutting-edge predictive models to empower farmers with accurate insights for optimizing grazing and farming operations. You will own end-to-end ML development, from research to deployment, influencing real-world agricultural practices.

We seek a machine-learning generalist with strong Python, collaboration skills, and a passion for solving complex, real-world problems in agriculture. You’ll thrive in a fast-paced, office-first environment that values curiosity and impact.

Qualifications

• Deep academic or professional background applying ML to real-world problems.
• Experience designing, deploying, and monitoring ML systems in production.
• Fluency in Python and collaboration on complex codebases.

Responsibilities

• Own end-to-end development of ML pipelines and models.
• Lead research from technical to agricultural applications.
• Deploy, monitor, and maintain production ML systems.
• Collaborate with engineering, product and design to deliver impact.
• Proactively contribute innovative ideas within data discipline.

Skills

ML expertise

Python

Autonomy

Communication

Product minded

Education

Postgraduate degree in ML/CS

Tools

Copilot

ChatGPT

Cursor

Claude-code

Job description

Halter is building cutting-edge predictive models to empower farmers with accurate insights for optimizing grazing and farming operations. You will own end-to-end ML development, from research to deployment, influencing real-world agricultural practices.

We seek a machine-learning generalist with strong Python, collaboration skills, and a passion for solving complex, real-world problems in agriculture. You’ll thrive in a fast-paced, office-first environment that values curiosity and impact.