Machine Learning Engineer (all genders)

NFON AG
München, Germany
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 74K

Job location

München, Germany

Tech stack

Artificial Intelligence
Python
Machine Learning
Open Source Technology
Software Deployment
Management of Software Versions
PyTorch
Deep Learning

Job description

  • Develop, train, and fine-tune deep learning models from early experimentation to production deployment.
  • Explore the latest open-source developments and research, evaluate new models and architectures, and turn promising ideas into practical solutions.
  • Build robust training and evaluation pipelines to measure and continuously improve model performance.
  • Deploy your own models into production, including efficient model serving, versioning, and monitoring.
  • Quickly familiarize yourself with new domains and apply machine learning to solve real business challenges.
  • Collaborate closely with engineers and cross-functional teams in an agile environment.

Requirements

  • Solid experience in machine learning and hands-on expertise with PyTorch.
  • Experience training deep learning models as part of your daily work.
  • Curiosity to learn new domains-experience in speech or audio AI is not required; we'll help you build that expertise.
  • Confidence reading, reproducing, and extending research papers and open-source implementations.
  • Strong Python programming skills and the willingness to tackle unfamiliar technical challenges.
  • Ideally, experience deploying machine learning models into production environments.
  • A collaborative mindset and experience working in agile teams.

Benefits & conditions

  • The opportunity to shape the future of AI-powered communication in an innovative company with a clear vision.
  • Flat hierarchies, short decision-making paths, and the freedom to contribute ideas and work with the latest technologies.
  • A modern office at Bremen's Europahafen with waterfront views.
  • Company fitness, BusinessBike, and access to our company boat.
  • Funding for the e-learning courses of your choice to support your professional development.
  • Regular knowledge sharing through internal meetups and participation in AI and technology events.
  • Exciting international customers across a wide range of industries.
  • A competitive salary and employee participation program.
  • 30 days of annual leave and flexible part-time options.
  • High-end hardware, height-adjustable desks, and multi-monitor workstations.
  • A family-friendly culture that supports work-life integration and has been officially recognized as a family-friendly employer.

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