NLP Engineer in München bei ZEISS Group

NLP Engineer (f/m/x) in München bei ZEISS Group

ZEISS Group

Your Role

You will play a crucial role in shaping the future of Data & Analytics and actively contribute to the success of the digital transformation at ZEISS. Within the Enterprise Data Management Team of our rapidly growing Data & Analytics organisation, you will help our business units to design, build, and maintain knowledge-based systems, driven by the vision to enable everyone to effectively find, learn, share, & innovate throughout the enterprise. Your direct role and responsabilities include:

Develop and apply algorithms based on Natural Language Processing, Machine Learning (LLMs like GPT/ChatGPT), & Knowledge Graphs to extract, process & analyze information from unstructured documents
Work in a team with data scientists, data & knowledge engineers, software developers, and product owners to create scalable, reusable and performant data-oriented applications, incl. e.g., document understanding, chatbots, recommender, search
Convey technically difficult concepts in a clear and understandable way, translate business needs to technical specifications, and provide guidance for applying natural language processing & machine learning to other teams
Evaluate the latest methods and technologies and support the design of our data & analytics platforms and governance infrastructures
Continuously improve quality and performance while owning applications from idea to operations

Your Profile

An excellent university degree (MSc/PhD) in information technology, computer science, natural sciences, or similar training
At least 3 years of working experience in applying natural language processing in a business-relevant context, in production environments
Expert understanding of Natural Language Processing, Machine Learning / Deep Learning as applied to Natural Language (e.g., LLMs)
Excellent programming skills in Python, including mastering the standard libraries for NLP, machine learning and data science; knowledge of one other programming language (e.g. Java, Javascript) is a plus
Experience in any of search (e.g., based on Elasticsearch, MongoDB), semantic technologies (e.g., Graph Databases), chatbots (e.g., RASA) is considered a plus - An independent (“can-do”), solution-oriented and team-oriented way of working, not afraid to take on responsibility
Strong desire to learn & upskill at the intersection of data, science & industry Experience with the following is welcome and considered as a plus:
Cloud technologies like Microsoft Azure (e.g., Synapse, Databricks, Azure DevOps) - Big Data (e.g., Spark) - CI/CD using e.g., git, docker
Agile software-development using Scrum / Kanban