ML Engineer: Production-Ready Models for Construction

Trackunit; Kolding; Remote; DKK 700,000 - 950,000; Full time

Job summary

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

You will leverage MLOps experience, strong Python skills, and Databricks/MLflow expertise to manage experiments, deploy models, and monitor performance in production, collaborating with data scientists to ensure robust ML lifecycles.

Qualifications

• MLOps experience taking machine learning solutions into production and maintaining them beyond release.
• Strong Python skills and 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 managing models with MLflow, and deploying and monitoring models in production.
• Understanding the ML lifecycle from feature prep to retraining and monitoring.
• Ability to work with data scientists to assess model performance and translate experimental code into maintainable systems.
• Experience with cloud platforms and tools for orchestrating ML workflows and serving predictions.
• Ability to communicate technical decisions clearly and connect engineering to customer needs.
• Experience training, tuning, and validating machine learning or deep learning models is a plus.
• Experience with time series, sensor, geospatial data, or distributed processing is a plus.

Responsibilities

• Turn models into reliable, maintained systems that production users can rely on.
• Collaborate with data scientists to evaluate model performance and address drift or data leakage.
• Shape ML pipelines and deployment strategies across cloud and on‑prem environments.

Skills

MLOps

Python

CI/CD

Testing

Code reviews

Technical communication

Tools

Databricks

MLflow

Cloud platforms

Experiment tracking

Job description

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

You will leverage MLOps experience, strong Python skills, and Databricks/MLflow expertise to manage experiments, deploy models, and monitor performance in production, collaborating with data scientists to ensure robust ML lifecycles.