Senior ML Engineer — Production-Grade, Scalable Pipelines

JobSpace; Auckland; Hybrid; NZD 140,000 - 180,000; Full time

Benefits offered by this job

Health Insurance (Unimed)

Birthday Leave

Family & Friends Day Leave

Training & Development

Parental Leave (10 weeks)

Hybrid work environment

Work-from-home stipend

Job summary

PredictHQ is seeking a Senior Machine Learning Engineer to join our Project team, building and deploying production-grade ML libraries and large-scale pipelines that power demand forecasting and pricing decisions. You’ll work with Python and our ML platform, collaborating with data scientists to productionize research models.

You’ll own deployment, reliability, and scalability of models, mentor peers, and help evolve our ML engineering practices in a hybrid Auckland-based role requiring NZ

Qualifications

• Expert-level Python with production ML experience.
• Experience deploying and maintaining production ML systems.
• Experience with distributed ML infrastructure and model serving.
• Strong background in MLOps practices (CI/CD, testing, versioning).
• 4-5 years of engineering experience across software/data/ML engineering.

Responsibilities

• Convert data science models into production-grade ML libraries.
• Design and maintain large-scale ML pipelines from research to serving.
• Validate production results against offline models.
• Deploy models into production across project cycles with the wider team.
• Ensure reliability and scalability of live models.
• Collaborate with data scientists during research and feature engineering.
• Contribute to and evolve MLE frameworks and best practices.
• Mentor data scientists to build deployable models.

Skills

Python production ML

Distributed ML infra

MLOps CI/CD

Production ML pipelines

Model deployment

Collaborative work

Research-to-production

Tools

Ray Serve

SageMaker

MLflow

Job description

PredictHQ is seeking a Senior Machine Learning Engineer to join our Project team, building and deploying production-grade ML libraries and large-scale pipelines that power demand forecasting and pricing decisions. You’ll work with Python and our ML platform, collaborating with data scientists to productionize research models.

You’ll own deployment, reliability, and scalability of models, mentor peers, and help evolve our ML engineering practices in a hybrid Auckland-based role requiring NZ