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A high-tech company in Niedersachsen, Germany, is seeking an R&D Machine Learning Engineer. The role involves developing and implementing machine learning use cases and collaborating with teams on assembly processes. Candidates should possess a Bachelor's or Master's in Engineering, strong Python skills, and be adept in problem-solving. The company offers flexible hours, a company pension plan, and a professional onboarding program, among other benefits.
ficonTEC Service GmbH is an innovative high-tech company that has quickly established itself in a highly specialized market since 2001. With continuous growth and innovative development, we are a recognized market leader in the automated assembly and testing of optoelectronic components and (hybrid) photonic devices. Our company develops advanced solutions such as high-precision die bonding, fiber alignment, and laser soldering systems, which are critical for manufacturing cutting-edge photonic devices like LiDAR sensors, high-speed data transceivers, and silicon photonics. These technologies are paving the way for advancements in telecommunications, autonomous vehicles, and medical diagnostics.
Our company-wide goal is to set up top-notch technology that facilitates our customers from around the world in building tomorrow’s optoelectronic devices. We believe in equal opportunity, with employees committed to diversity and inclusion, offering a vibrant working environment.
Are you looking for a job in a forward‑looking industry? Then become part of our strong and experienced team in the R&D department as a:
R&D Machine Learning Engineer (m/f/d)
immediately & full time
We are actively seeking a highly skilled and motivated R&D machine learning engineer to join our dynamic team. As an integral member of our company, you will play a key role in developing and maintaining machine learning related use cases and bringing them into the field.
Are you interested? Then accept the challenge and apply with a meaningful application (cover letter, resume and salary requirement) under:
You can find out more about ficonTEC here: www.ficontec.com