Machine Learning Engineer mfx
Machine Learning Engineer mfx
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Job Description
At Corporate Research & Technology Department we look at the innovations and developments of tomorrow. We research analyse advise and develop. All our ideas flow into future ZEISS products. We are looking for passionate and talented Machine Learning Engineer (m/w/d) to join our team and help drive the development of nextgeneration products and cuttingedge algorithms at ZEISS.
Your Role
Integrated in a team of scientists and research engineers you will develop algorithms and support endtoend machine learning lifecycle taking ideas from academic and early stages to prototypes.
Working across complete ZEISS Product portfolio you will drive technology adoption and integration of latest advancements in machine learning computer vision scene understanding imaging and optical metrology.
Alongside the team you will implement best practices to enhance existing codebase and infrastructure with a focus on stability and scalability.
You will actively research develop and promote best practices contributing to knowledge exchange within the team and the broader ZEISS machine learning community.
During you work you will build an excellent network in both academia and industry that help us to leverage the latest technology advancements to address tomorrows challenges.
Your Profile
A university degree in computer science engineering or similar a Ph.D. is a plus.
Professional experience in software engineering DevOps or machine learning related roles.
Deep understanding of machine learning & deep learning algorithms and strong interest in algorithmic stability monitoring.
Strong record of programming in Python or C with solid knowledge of modern ML techstacks.
Proven experience in CI/CD solutions virtualization technologies and container orchestration state of the art cloud providers is a plus
Handson mindset coupled with communication and presentation skills.
Please include your references with your application. We look forward to getting to know you.
Your ZEISS Recruiting Team:
Katharina DandorferEmployment Type
Full-Time
