Data & Ml Engineer I Data Scientist (f/m/div.)

Bosch Rexroth Pty. Ltd.

Lisboa, Portugal
On-site
Machine learning and deep learning models
Data pipelines for model training
Deploy production-grade ml systems
Bosch Rexroth is seeking a Data & ML Engineer/Data Scientist in Lisbon, Portugal, to develop and deploy machine learning models for industrial applications. The ideal candidate will have a strong background in AI/ML, programming, and cloud platforms, while embracing the company’s diverse and collaborative culture

Job Summary

  • Lead the development of machine learning and deep learning models for real-world industrial and enterprise applications.
  • Own and evolve the MLOps strategy: model versioning, CI/CD, observability, monitoring, retraining, and experiment tracking.
  • Bosch offers flexible work conditions, a hybrid work system, and opportunities for career progression and continuous professional development.

Matching Summary

Match Score: 85

Bosch Rexroth is seeking a Data & ML Engineer/Data Scientist in Lisbon, Portugal, to develop and deploy machine learning models for industrial applications. The ideal candidate will have a strong background in AI/ML, programming, and cloud platforms, while embracing the company’s diverse and collaborative culture.

Skills & Requirements

Must-have

  • Machine learning and deep learning models
  • Data pipelines for model training
  • Deploy production-grade ML systems
  • MLOps strategy and tools
  • Cloud platforms (Azure preferred)
  • Python and ML frameworks
  • Responsible AI principles

Nice-to-have

  • Structured, collaborative, proactive
  • Curious, open-minded, passionate
  • German language proficiency

Key Requirements

  • Degree in Data Science, AI, Computer Science, or related field
  • Hands-on experience in machine learning or AI engineering
  • Proven track record deploying ML systems into production
  • Experience in Computer Vision, NLP/LLMs, Predictive Maintenance, Optimization, or Time Series

Work Rights

Not specified

Tailored Resume

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