KI / Machine Learning Engineer (m/w/d) - System Engineering / Administration

Benefits

What we offer you:

• Team-oriented and appreciative corporate culture in a multi-award-winning “Great Place To Work®”
• Individual career paths with numerous further training opportunities in a flat hierarchy
• An attractive salary package and flexible working hours with home office option in a modern, innovation-driven work environment
• And other above-average additional benefits, including: Participation in company success and employee shares, job ticket, company car and modern technical equipment, company pension scheme and private accident insurance, regular team events and innovation events

Profile

What we wish for:

• You have several years of experience in AI and Machine Learning.
• You have very good Python skills, for example with Scikit-Learn, TensorFlow or PyTorch.
• You have experience in predictive analytics and in handling large amounts of data and data lakes.
• You have experience with at least one cloud platform such as AWS, Azure or GCP.
• Ideally, you have experience in MLOps and have already had contact with Generative AI and Large Language Models (LLMs).
• Experience with container technologies such as Docker and Kubernetes is desirable, as are skills in technologies such as Spark or Kafka.
• You have very good German and good English language skills.

Outlook

What awaits you:

• You will conceptualize, develop, and operate AI and machine learning solutions for various use cases.
• You will develop predictive, forecasting, and analysis models for data-driven decision support.
• You will build modern data lakes and data platforms and use them to process and analyze large amounts of data.
• You will develop and operate end-to-end ML pipelines from data preparation to productive model deployment.
• You will integrate machine learning models into cloud applications and microservice architectures.
• In close collaboration with cloud, data, and software engineering teams, you will design holistic solutions.
• You will actively participate in innovation projects and in the implementation of Proofs of Concept (PoCs) and Minimum Viable Products (MVPs).