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