Applied ML Engineer: From Data to Production

Jabra; Ballerup; On-site; DKK 598,000 - 897,000; Full time

Benefits offered by this job

Flexible/Hybrid work options

Work with cutting-edge ML technologies

Collaborative engineering culture

Job summary

GN is seeking a Machine Learning Engineer to build models on real-world product data and bring them into production. You will join the Engineering Excellence team and work across the model lifecycle, from data exploration to deployment and ongoing improvement.

You will collaborate with ML architecture, software engineering and data science colleagues in a production-oriented environment, using Python, Azure ML, Databricks and Azure DevOps to deliver reliable product capabilities.

Qualifications

• Experience in applied machine learning from experimentation to deployment.
• Practical ML on real-world data with Python.
• Ability to design and run useful experiments and interpret results.
• Curious about emerging ML technologies and model behavior.
• Ability to explain model capabilities and limitations to stakeholders.
• Ability to work independently within an established technical direction.
• Experience fine-tuning language models on domain-specific data is a plus.

Responsibilities

• Explore real-world product data, identify useful features and assess data-supported problems.
• Build and evaluate classical ML and deep learning models, testing new approaches for product value.
• Take models from experimentation through deployment, contributing to data pipelines.
• Assess model performance on production data and improve reliability.
• Work in Python with Azure ML, Databricks and Azure DevOps, using scikit-learn, TensorFlow or PyTorch.
• Use AI-assisted development tools to support experimentation and engineering.
• Collaborate to turn experimental results into maintainable product capabilities.

Skills

Applied machine learning

Python

Azure ML

Databricks

Azure DevOps

scikit-learn

TensorFlow

PyTorch

Tools

Azure ML/Databricks

Azure DevOps

Python tooling

Job description

GN is seeking a Machine Learning Engineer to build models on real-world product data and bring them into production. You will join the Engineering Excellence team and work across the model lifecycle, from data exploration to deployment and ongoing improvement.

You will collaborate with ML architecture, software engineering and data science colleagues in a production-oriented environment, using Python, Azure ML, Databricks and Azure DevOps to deliver reliable product capabilities.