ML Engineer: Build & Deploy Business Models (Remote Germany)

Klarnode; United States; Remote; USD 77,000 - 110,000; Full time

Benefits offered by this job

Remote work

Permanent position in Germany

Full-time or part-time

Job summary

Klarnode is seeking a skilled ML Engineer to develop and deploy machine learning models that drive business value. You will engineer features, evaluate performance, and support MLOps workflows, collaborating with BI and engineering teams to align analytics with production needs.

This permanent role offers flexible arrangements (full-time or part-time) with remote work enabled, based in Germany. You will work cross-functionally to turn data insights into scalable solutions.

Qualifications

• Experience with machine learning frameworks such as scikit-learn or PyTorch.
• Strong Python and SQL skills.
• Analytical thinking and the ability to assess model results.

Responsibilities

• Develop and deploy machine learning models for business use cases.
• Engineer features and evaluate model performance.
• Support MLOps workflows, including pipeline operation, monitoring, and model retraining.
• Coordinate with BI and engineering colleagues to connect analytical work with production needs.

Skills

Python

SQL

ML frameworks

Tools

scikit-learn

PyTorch

Job description

Klarnode is seeking a skilled ML Engineer to develop and deploy machine learning models that drive business value. You will engineer features, evaluate performance, and support MLOps workflows, collaborating with BI and engineering teams to align analytics with production needs.

This permanent role offers flexible arrangements (full-time or part-time) with remote work enabled, based in Germany. You will work cross-functionally to turn data insights into scalable solutions.