Generative AI & Machine Learning DevOps Engineer

Tasks that will support your personal growth:

• Evaluate the potential of implementing cutting-edge Generative AI techniques in Software Digitalization department
• Monitor market trends to inform strategic decisions regarding in-house development versus external procurement
• Deploy Generative AI applications to enhance or transform our business and IT processes
• Collaborate closely with various IT departments to seamlessly integrate these applications
• Analyze and integrate data from diverse sources while selecting appropriate Generative AI models
• Validate UseCase concepts through proof of concepts, ensuring their feasibility
• Leverage our IT hubs and external partners for scaling and industrializing these applications
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  Your skills that will help us to get ahead:
   
• A degree in computer science, electrical engineering, mechatronics, or a comparable field
• At least 3 years of professional experience in classic machine learning and generative AI
• Strong proficiency in programming languages such as Python and C++, along with experience with relevant libraries and frameworks (e.g., LangChain, TensorFlow, PyTorch)
• Hands-on experience with public cloud infrastructures (AWS and Azure), containerization and orchestration (e.g. Kubernetes and Docker) as well as with automation tools (Terraform, GitHub Actions, etc.)
• Experience working with LLMs such as GPT4,  LLaMA etc. and in creating build and release pipelines for ML solutions
• Strong communication skills in English and German