Machine Learning Engineer - Heidelberg Materials Digital Hub

Responsibilities

• Work on generative AI Use cases by designing an efficient prompt design and modular, maintainable code
• Write maintainable code according to our coding and security guidelines
• Conduct (LL)MLOps, test-driven and QA-ensured development
• Follow the CI/CD process and collaborate with team members using version control & pull requests
• Constantly learn about the relevant technological developments such as GPT-4, LLMOps, NLP, MLFlow on Azure and Databricks
• Write code mainly in python, pyspark and C#
• Research and test various Generative AI algorithms and develop scalable machine learning solutions and architecture
• Build business solutions based on OpenAI leveraging the capabilities of NLP
• Contribute to the development of our cloud-based platform
• Build robust and scalable integrations (e.g. via secure API endpoints)

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or similar
• 2+ years in machine learning or deep learning
• Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras
• Understanding of generative AI models such as GANs, VAEs, and RNNs
• Experience with cloud computing platforms such as AWS, GCP, or preferably

Azure

• Databricks experience is a plus
• Strong problem-solving skills and ability to work independently and in a team environment
• Strong analytical and problem-solving skills
• Strong, proactive team-player