ML Engineer

Vor 6 Tagen

Berlin Germany Ailoys Vollzeit 60.000 € - 120.000 € pro Jahr


About Us

At Ailoys GmbH, we are transforming the manufacturing landscape by integrating advanced technologies like IoT, sensor systems, AI and machine learning. Our mission is to empower manufacturing facilities with smarter processes, improved quality, and enhanced efficiency. 

We are looking for a Machine Learning (ML) Engineer who will focus on researching appropriate models for automation manufacturing processes.

In this role, you will:

  • Design and develop evaluation benchmark.
  • Deploy end-to-end evaluation pipelines for in-house and external ML models.
  • Be responsible for model selection and comparison with state-of-the-art methods.
  • Analyze evaluation results and propose improvements to data and models.

Required Skills and Experience

  • Expertise in the evaluation of generative AI methods.
  • A good understanding of statistics and data analysis.
  • Data annotation management.
  • Practical Python language skills.
  • Familiarity with frameworks such as NumPy, SciPy, pandas, and Hugging Face Evaluate.
  • A minimum of 2-3 years of relevant work experience is required.

Nice to have:

  • ML frameworks, such as PyTorch, spaCy, and Transformers.
  • CI, workflow automation, and experiment tracking systems.
  • Familiarity with the AWS Bedrock

Why Join Us?

  • A competitive salary that recognizes your skills and contributions.
  • Work on cutting-edge technologies in industrial AI, IoT and manufacturing automation.
  • Be part of a fast-growing, innovative team with opportunities for professional growth.
  • Contribute to impactful projects with leading global manufacturing companies.

If you are passionate about driving innovation in manufacturing and have the technical expertise to match, we'd love to hear from you

How to Apply

Please send your resume and a brief cover letter by pressing "Apply for this job" detailing your relevant experience, as well as your salary expectations.

Let's build the future of manufacturing together

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