Machine Learning Engineer at 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