Ml Ops Engineer

ML Ops Engineer

Genesis is doubling down on Data & AI as part of its Gen35 transformation, and this is your chance to help shape it from the ground up.

We're on the hunt for an ML Ops Engineer who's ready to roll up their sleeves, build frameworks, and make machine learning models run reliably at scale.

Why this role rocks

Be the go-to person for building ML Ops frameworks in Azure and Databricks, you'll set the standard for how models are deployed and monitored.

Work shoulder-to-shoulder with Data Scientists, Engineers, and DevOps to turn bleeding-edge models into production-grade solutions that drive real business outcomes.

Mentor juniors, grow your own skills, and shape a practice that's hungry to innovate and scale.

Make a direct impact, the models you deploy will influence millions of dollars' worth of decisions.

What you'll be doing

Designing and building ML pipelines in Azure / Databricks

Owning observability : tracking drift, monitoring performance, and ensuring models deliver value

Collaborating with Data Scientists to take models from lab to production

Automating workflows with CI / CD pipelines (Azure DevOps)

Driving continuous improvement and embedding best practice into how ML is operationalised

What you'll bring

Hands-on ML Ops experience (CI / CD, monitoring, governance)

Strong Python skills, with knowledge of ML frameworks (TensorFlow, PyTorch, MLflow, Kubeflow)

Cloud experience in Azure (AWS / GCP also a bonus)

Curiosity, initiative, and the drive to make things happen

Why you'll join Genesis

At Genesis, you'll be part of a company that's not just keeping the lights on, they're powering New Zealand's cleaner energy future.

You'll work with people who are genuinely passionate about technology, sustainability, and innovation.

Expect the freedom to do meaningful work, the backing to try new things, and the opportunity to grow your career in an environment where data and AI are seen as true game changers.

Your interest will be treated in the strictest confidence.

Applicants must be legally entitled to work in New Zealand.

Role highlights / Responsibilities

Build ML Ops frameworks from the ground up in Azure & Databricks

Work with Data Scientists to take models from lab to large-scale production

Make a real-world impact with AI models that drive multi-million-dollar decisions

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