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An established industry player is seeking a passionate Machine Learning Engineer to join a groundbreaking project in the GreenTech sector. This role offers the chance to work with cutting-edge technologies like Python, Numpy, and Pytorch, while contributing to sustainable solutions that help companies reduce emissions and save on energy costs. With a strong focus on career progression and above-market salaries, this opportunity is perfect for those looking to make a meaningful impact in the tech world. Join a dynamic team and be part of a transformative journey in the GreenTech industry!
Tech stack : Data Science, Machine Learning, ML, Python, Numpy, Pytorch, Darts, Docker, Scikit-Learn, TFT and ML Environment, MLFlow
Our client works on helping companies across Germany to lower their emissions while also saving their clients money on energy costs. Data Scientist applicants should have a skill set that encompasses some or all of the following (full training will be provided to fill any gaps in your skill set): Machine Learning, ML, Python, Numpy, Pytorch, Darts, Docker, Scikit-Learn, TFT and ML Environment, MLFlow. No previous experience in GreenTech is required; however, prior experience with Structured Products is beneficial.
The tech stack is primarily Python-based for this role, but their applications are built on C# and Blazor, so those skills are desirable.
This is a unique opportunity to get involved in one of the most exciting Greenfield projects in Germany. Our client seeks to hire top Data Scientist candidates by offering a challenging role, guaranteed career progression for high performers, and above-market salaries.
Location : Germany / Remote from North Germany
Salary : €60,000 - €72,000 + Bonus + Pension + Benefits
Applicants must be based in Germany and have the right to work there, even though remote work is available.
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Ref: NOIRGERMANYREC, NOIREUROPEREC, NOIREURNET, NC / SM / GERPY6072
Position: Machine Learning Engineer • Lower Saxony, Germany