onsite
AI Engineer - Silbury Deutschland GmbH
AI Engineer
Design and deploy AI solutions using Python, TensorFlow or PyTorch, and cloud services. Build scalable machine‑learning pipelines, optimize models, and collaborate with cross‑functional teams to integrate intelligent features into products.
About the role
Key Responsibilities
- Develop, train, and fine‑tune machine‑learning models for computer vision, NLP, or predictive analytics using Python frameworks such as TensorFlow and PyTorch.
- Design and implement end‑to‑end AI pipelines, including data ingestion, preprocessing, feature engineering, model serving, and monitoring.
- Deploy and scale AI services on cloud platforms (e.g., AWS) leveraging containers, serverless functions, and managed ML services.
- Collaborate with product managers, data engineers, and software developers to integrate AI capabilities into existing applications and ensure performance, reliability, and security.
- Conduct experiments, perform hyperparameter optimization, and evaluate model performance against business metrics.
Requirements
- Strong proficiency in Python and experience with deep‑learning libraries such as TensorFlow or PyTorch.
- Solid understanding of machine‑learning algorithms, model evaluation, and data preprocessing techniques.
- Hands‑on experience deploying AI models on cloud platforms, preferably AWS, using services like SageMaker, Lambda, or ECS.
- Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker).
- Excellent problem‑solving skills and ability to work in an agile, cross‑functional team environment.
Skills
pythontensorflowpytorchmachine learningaws