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Lead Machine Learning Engineer

Helsinki, Finland
Photo of Anton Gordeev
Recruiter
Anton Gordeev
Roles:
Machine Learning
Must have skills:
Python
One of skills:
AWS
Azure
GCP
Considering candidates from:
Finland, Sweden, Norway, Estonia, Latvia, Lithuania and Poland
Work arrangement:
Onsite only
Industry:
Information technology
Language:
English
Level:
Senior or lead
Visa sponsorship:
Provided
Company size:
2-10 employees
Logo of Skyfora

Lead Machine Learning Engineer

Helsinki, Finland
Skyfora combines scientific understanding of tropical storms with computer vision, machine learning and IoT technologies. Skyfora’s power pair of weather intelligence consists of the AI-empowered Tropical Storm Tracker and lightweight weather instruments StreamSondes.
Tasks:
  • Applying deep learning on forecasting of various weather phenomena from hurricanes to hyperlocal weather forecasts within a city
  • Taking the leadership of such projects and being active in recruiting more talent to the company
Must-have:
  • 3+ years of experience in ML
  • Experience with Python, Deep Learning, CNN/RNN, PyTorch/Tensorflow
  • Working with and building complex datasets
  • Knowledge of cloud services such as AWS, GCP or Azure
Nice-to-have:
  • ML frameworks such as SageMaker
  • Experience of managing projects, products or teams
  • Related work experience
  • Interest in the topic and the natural science in general is necessary for you to have the right motivation, but no pre-skills are necessary as these can be learned from the team
Benefits and conditions:
  • Trial period: 6 months
  • Flexible and pleasant work environment with a low-hierarchy team
  • Fringe benefits 
  • Stock options
Interview process:
  1. Intro call with Toughbyte
  2. Intro call with the company (30-45 -minutes)
  3. The candidate can share some code samples if there are. After that, there might be either a test assignment if needed, or only further discussion

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