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Machine learning engineer for innovative shipping solution

Gand
beBee Careers
Publiée le Publiée il y a 19 h
Description de l'offre

About Toqua

Do you want to build an innovative product with a positive climate impact? Then we're the right team for you.

We reduce emissions at a global scale, by bringing the fuel-saving potential of Machine Learning to shipping. Our goal is to deliver cutting-edge Machine Learning to the whole industry through APIs, accelerating the decarbonization of shipping.

We consist of a young & dynamic team that values ideas over hierarchy. We're convinced work should be a place of permanent learning that lifts up yourself and those around you. Most importantly, we believe job satisfaction comes from working on something you care about.

Job Description

We're looking for a driven and bright individual to boost our ML research. ML is the core of our product, so you'll be a critical part of the team. You'll make sure our ML is world-class and you're always looking for ways to improve it by drawing from the latest research and trends. Next to having strong ML fundamentals and a pragmatic approach, you're a team player who likes to collaborate with others.

Responsibilities

* Take ownership of parts of our ML research
* Develop & execute a vision to gradually advance modelling capabilities in line with the product strategy
* Share knowledge and collaborate with other data scientists and ML Engineers
* Hands-on ML development

Qualifications

* A master's degree or PhD in computer science, statistics, math, physics, or similar through experience
* Experience with Python (TensorFlow/Keras/sklearn/PyTorch/...)
* Previous experience in delivering ML projects
* High standards, disciplined, good communicator and team player
* Wanting to take ownership

What We Offer

* A motivating environment
* A fast learning trajectory and lots of ownership
* An informal and supportive way of working
* Flexible working hours, remote working options and competitive pay
* The chance to join a start-up in an early phase and share in the financial success of what you build via stock options

Even if your experience doesn't precisely match the criteria above, please consider applying.

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