onsite
AI Engineer - Stiftung Kirchliches Rechenzentrum Sudwestdeutschland
AI Engineer
AI Engineer responsible for designing, developing, and deploying machine learning models and AI solutions using Python, TensorFlow, and PyTorch on AWS infrastructure.
About the role
Key Responsibilities
- Design, implement, and optimize machine learning models for real‑world applications.
- Collaborate with data scientists and software engineers to integrate AI components into production systems.
- Deploy and maintain models on cloud platforms, ensuring scalability and reliability.
- Monitor model performance, conduct A/B testing, and iterate on solutions based on feedback.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with cloud services (AWS, GCP, or Azure) for model deployment.
- Solid understanding of data pipelines, feature engineering, and model evaluation.
- Excellent problem‑solving skills and ability to work in a collaborative, agile environment.
Skills
pythonmachine learningtensorflowpytorchaws