Production ML Engineer: MLOps, Python & Databricks

Trackunit; Aalborg; Remote; DKK 700,000 - 900,000; Full time

Job summary

Trackunit is seeking an ML Engineer to turn models into reliable, maintained systems used by construction teams to make better decisions about equipment and operations. You will work at the intersection of data science and software engineering, shaping how machine learning gets built, deployed, and improved at Trackunit.

You should bring hands-on MLOps experience, strong Python skills, and familiarity with Databricks and MLflow.

Qualifications

• MLOps in production and ongoing maintenance of ML solutions.
• Strong Python skills with solid 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 deploying/monitoring models with MLflow.

Responsibilities

• Turn models into reliable, maintained systems used in production.
• Collaborate with data scientists to assess model performance and address issues like data leakage and drift.
• Deploy, monitor, and retrain ML models in production while balancing reliability, performance, and cost.
• Translate experimental code into maintainable production systems.

Skills

MLOps

Python

CI/CD

Cloud platforms

Experiment tracking

Tools

Databricks

MLflow

Testing

Version control

Job description

Trackunit is seeking an ML Engineer to turn models into reliable, maintained systems used by construction teams to make better decisions about equipment and operations. You will work at the intersection of data science and software engineering, shaping how machine learning gets built, deployed, and improved at Trackunit.

You should bring hands-on MLOps experience, strong Python skills, and familiarity with Databricks and MLflow.