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Machine Learning Operations Engineer

What will you be doing?

We're looking for an experienced engineer to architect and build automation and data pipelines for efficient machine learning with a mind towards research and production systems.

As our new colleague, you'll help drive our smartphone AI technology in medical imaging forward as part of a team of like-minded research engineers with years of experience in building pipelines for machine learning and data science. You'll join the effort to develop a state-of-the-art machine learning pipeline, where great software engineering and algorithmic understanding is crucial. Task review and quality assurance is part of our daily teamwork.

Are you our new colleague?

We’re on a journey to build new pathways for people with skin conditions to get access to specialist care when they need it most. You should therefore thrive with a great deal of freedom in an evolving environment.

As our new colleague, we imagine that you...

  • Have a strong foundation in operations
  • Hold an MSc in computer science or related discipline
  • Have at least 3 years professional experience with working on machine learning and data pipelines at scale
  • Have experience working with Python and Scala or other functional language
  • Have experience with Amazon Web Services, Github, CircleCI
  • Have a disciplined approach to testing and quality assurance and employing, continuous integration, automated testing, serverless infrastructure and agile

You'll get a bonus of two of you have...

  • Worked with go-to-market machine learning development and deployment
  • A PhD degree within computer science (or related discipline), preferably within topics of machine learning, algorithms, or software engineering
  • Publications in relevant research areas

We don't expect you to tick all boxes so don't hold back if you see a place for you in the work we do.

Join us to make a difference - stay for the culture

You’ll be part of a multidisciplinary and diverse workspace of more than 20 different nationalities where designers and developers work closely with doctors and data scientists (just to name a few).

We value a curious and creative mindset, which doesn’t only influence our way of working but has also fostered a strong social community.

Knowledge-sharing is caring, so we make sure to have guild meetings to explore which practices could be valuable for us to implement, and to delve into interesting topics and discussions. But the fun doesn’t end here. We also have themed Friday bars, “hygge coffees” to mingle across the organisation, weekly Counter-Strike, and an array of other activities organised by the colleagues themselves.

Other benefits include

  • Pension contribution and premium health insurance.
  • The opportunity to attend conferences and professional training.
  • Flexible working hours and holidays. 5 extra days/year after being 9 months with us.
  • Paid parental leave for moms and dads, so you spend valuable time with your loved ones.
  • Lunch served by our own in-house chef.
  • A variety of snacks and soft drinks available throughout the day when you’re feeling peckish.
  • Whatever device setup you need as productivity base - and you can of course use your phone and laptop privately.

Application

If the position has piqued your interest, please send your CV and motivational letter, and potential GitHub profile or portfolio to jobs@omhu.com with the subject “Machine Learning Operations Engineer”.

Deadline is 06. Dec. We’ll invite applicants in on a rolling basis. Please don't hesitate to contact Martin.

Martin
Martin Olsen
Lead Machine Learning Engineer
martin.olsen@omhu.com

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