onsite
AI Engineer - BridgingIT GmbH
AI Engineer
Lead the design and deployment of AI solutions using Python, deep learning frameworks, and cloud services to solve complex business problems and drive innovation.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models for diverse business use cases.
- Collaborate with data scientists and software engineers to integrate AI components into scalable cloud architectures.
- Implement end‑to‑end pipelines for data ingestion, feature engineering, model training, and monitoring.
- Optimize model performance and resource usage on AWS, leveraging services such as SageMaker, ECS, and Lambda.
- Document model lifecycle, maintain reproducibility, and ensure compliance with data privacy standards.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience building and deploying ML models in production environments.
- Proficiency with AWS services (SageMaker, EC2, S3, Lambda) and containerization (Docker, ECS).
- Solid understanding of data engineering concepts and experience with SQL/NoSQL databases.
- Excellent problem‑solving skills and ability to communicate complex ideas to cross‑functional teams.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws