31 Oct 2023

Machine Learning Engineer at Heidelberg Materials Digital Hub

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Job Description


·      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)


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


–         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

Method of Application

If Interested, kindly send your CV to [email protected]

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