AI / Machine Learning Engineer

#ZEISS #SeeingBeyond #ZEISSDigitalInnovation #HealthSolutions #teamZEISS

With considerable expertise in the high-tech sector and agile working methods, ZEISS Digital Innovation as part of the ZEISS group develops tailored digital and software solutions that shape markets.

In the ZEISS Digital Innovation Health Solutions team we are +300 people based in Germany and Hungary, united by one passion: Creating digital health solutions today to improve people’s health tomorrow. Our mission is: To translate our in-depth healthcare and technology know-how into sustainable digital solutions to realize health innovations of ZEISS and external clients. Our software development and testing teams are deeply experienced and highly specialized. – ZEISS Digital Innovation

Your Role at ZEISS Digital Innovation

As a (Gen)AI / Machine Learning Engineer, you will be tasked with developing and implementing state-of-the-art AI applications using Large Language Models, and Machine Learning algorithms and models. Your expertise is invaluable in our pursuit of developing intelligent software applications that drive innovation and effectively address complex problems. Besides enhancing our software development methods and digital solutions, you will also be involved in researching, assessing, organizing, and disseminating information about (Gen)AI, LLMs, and Machine Learning within our company, and offering guidance on various projects. Moreover, you will participate in use cases applying a highly agile and iterative process to examine the integration of (Gen)AI and LLM solutions at Proof of Concept (PoC) stage. You will be one of the (Gen)AI and LLM specialists at ZEISS Digital Innovation, working alongside a team of passionate colleagues.

Your tasks include:

• Design, develop and implement scalable (Gen)AI applications for both internal and external clients
• Setup of new software development projects or PoCs and technical leadership of project teams
• Advise clients on challenges of implementing (Gen)AI solutions
• Design new AI products and refine product requirements
• Define a structured technical approach for solving complex use cases leveraging latest (Gen)AI capabilities
• Close collaboration and relationship building with decision makers
• Take part in code reviews, design decisions, and the production of technical documentation to ensure the resilience of AI solutions
• Document code, algorithms, and methodologies to facilitate knowledge sharing and collaboration
• Continuously explore and research new techniques, frameworks, and tools

Your Profile

If you are captivated by Generative AI, Large Language Models, and Machine Learning, and do you aspire to employ them in order to enhance human lives, we would be delighted to hear from you!

Furthermore, you have the following profile:

• 2+ years professional experience with Python
• Understanding and hands-on experience with GenAI – experience in two or more of the following fields: LLMs, prompt engineering, LangChain, RAG, semantic search, NLP, Agent systems, unstructured data
• Professional experience in data modelling, algorithm development or data science
• MLOps: experience in model configuration and deployment (preferably Azure ML)
• Experience in Research-/PoC-projects with uncertain requirements and outcomes
• A practical and forward-thinking approach
• Capability to devise technical solutions and convey them appropriately to stakeholders
• Very high willingness to learn new concepts and frameworks
• Fluent in both German and English, with the skill to effectively articulate intricate concepts

What we offer

As a foundation company, ZEISS is committed to a special social engagement also towards its own employees. This includes a variety of additional company offers for different stages of life.

Our employees are the innovative backbone and driving force of our company. That is why you are our focus.

• Work and family: compensation for overtime through time off, flexible working models through part-time options and mobile working
• Additional benefits: award-winning company pension schemes, profit-sharing, diverse employee discounts, job ticket subsidies, subsidised company bicycles
• Health offers: online sports courses and webinars, cooperation with numerous fitness studios, ZEISS sports groups
• Development opportunities: qualification programs for employees and leaders, attractive career models, various internal participation opportunities

We invite you to join #teamZEISS and help shape the future with us!

Your ZEISS Recruiting Team:

Anne-Maria Pilz, Bianca Müller, Christin Schmid, Sybille Lerche-Schlenkrich, Viktoria Stengel