Senior Machine Learning Scientist
vor 4 Wochen
In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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Aufgaben
We are looking for a motivated and result-oriented “Machine Learning Scientist” to join the AI and Machine Learning R&D team in Munich. In this role you will be responsible for developing state-of-the-art machine learning algorithms and applications for different medical fields like ophthalmology, laser vision correction and microsurgery. You will also have a key role in driving innovation and implementing new concepts of AI-based medical software on cloud, or on devices. This role involves close interaction and collaboration with different teams and functions across different locations.
Your Role-
Developing ML algorithms and data mining methods for medical applications, primarily with text data and secondarily with structured data
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Driving innovation and generating intellectual properties
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Provide technical expertise and guidance to support defining the requirements of cloud-based or device-based ML algorithm
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Establishing and reviewing quality management system documents for approving ML applications
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Reviewing state-of-the-art AI applications from third party providers, analyzing, and preparing them as needed for productive deployment
Profil
PhD in machine learning, data science, informatic or related fields
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3 years of experience working as a data scientist
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Experience in natural language processing with classic NLP approaches as well as the more advanced Large Language Models
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Deep knowledge of shallow and deep machine learning algorithms
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Experience in using machine learning frameworks and tools (e.g TensorFlow, PyTorch)
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Proficiency in using Python programming language
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Hands on experience with ML cloud providers, preferably with Microsoft Azure ML service
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Good knowledge of statistical analysis and statistical pattern recognition with structured data
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Ability to collaborate productively with a wide range of stakeholders
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Fluency in English
Nice to have
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Experience in computer vision and ML algorithm development for images is a plus
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Experience working in a regulated environment such as medical software development is a plus
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Extensive knowledge of Microsoft Azure platform and its workspaces is a plus
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Experience with other programming languages such as C++ is a plus
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