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Machine Learning Engineering Manager

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Darwin Recruitment GmbH

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Location:
Luxembourg

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

130000.00 EUR / Year
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Job Description:

As Machine Learning Engineering Manager, you will lead a team of scientists and engineers applying advanced machine learning and deep learning techniques to satellite imagery and geospatial data. Your team will develop scalable models for image classification, segmentation, and data fusion, leveraging high-performance and cloud computing platforms. You’ll be responsible for technical direction, mentoring, and ensuring that pipelines are reliable, reproducible, and aligned with the company’s product vision.

Job Responsibility:

  • Lead and mentor a team of ML engineers focused on ML/DL for Earth Observation data
  • Oversee the development of robust, scalable models for image classification, segmentation, and feature extraction
  • Drive innovation in thermal and multispectral data fusion using DL techniques
  • Collaborate closely with product and engineering teams to deploy models in production
  • Define and promote MLOps best practices, including model versioning, monitoring, and retraining workflows
  • Review model architecture, training pipelines, and code quality
  • Support research and proposal writing, and represent the company in external collaborations

Requirements:

  • Master’s in computer science, machine learning, physics, mathematics, or related field
  • 10+ years of experience in data science, machine learning, or computer vision
  • 2+ years in a leadership role managing ML teams
  • Proven expertise in deep learning (CNNs, transformers, self-supervised learning)
  • Solid understanding of modern MLOps practices (CI/CD for ML, model serving, experiment tracking)
  • Proficiency with ML frameworks (PyTorch, TensorFlow, Scikit-learn)
  • Experience with cloud platforms (AWS, GCP, Azure) and containerized workflows (Docker, Kubernetes)
  • Proficiency in English (written and spoken)

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
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