Machine Learning Engineer - Heidelberg Materials Digital Hub



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Job Description: Responsibilities, Qualifications, and Necessary Skills





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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


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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
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