Production ML Engineer: From Model to Production

Trackunit; Denmark; Remote; DKK 1,000,000 - 1,200,000; Full time

Job summary

Trackunit is seeking an ML Engineer to turn models into reliable systems for construction customers. You will operate at the intersection of data science and software engineering, shaping how ML gets built, deployed, and improved across Trackunit.

You’ll collaborate with data scientists, data engineers, and product teams to deploy reliable ML solutions, while balancing performance, cost, and reliability in a global, remote-friendly environment.

Qualifications

• MLOps experience taking machine learning solutions into production.
• Strong Python skills and software engineering practices, including testing, version control, code reviews, and CI/CD.
• Databricks expertise is a significant advantage.
• Hands-on experience building ML workflows in Databricks, tracking experiments, and managing models with MLflow, deploying and monitoring models in production.
• Understanding the ML lifecycle from feature prep to retraining.

Responsibilities

• Turn models into reliable, maintained systems used by construction customers.
• Collaborate with data scientists, data engineers, and product teams to deploy and monitor models.
• Shape deployment patterns from initial idea to production and continuous improvement.
• Balance reliability, performance, and cost in ML solutions.

Skills

MLOps

Python

CI/CD

Testing

Code reviews

Version control

Cloud platforms

Experiment tracking

Model deployment

ML lifecycle

Tools

Databricks

MLflow

Job description

Trackunit is seeking an ML Engineer to turn models into reliable systems for construction customers. You will operate at the intersection of data science and software engineering, shaping how ML gets built, deployed, and improved across Trackunit.

You’ll collaborate with data scientists, data engineers, and product teams to deploy reliable ML solutions, while balancing performance, cost, and reliability in a global, remote-friendly environment.