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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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