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Ervaren AI-engineer - q42
Software Engineer
Senior AI Engineer responsible for designing, developing, and deploying machine learning models at scale using Python, TensorFlow, and PyTorch, leveraging AWS infrastructure, Docker containers, and Git for version control.
About the role
Key Responsibilities
- Design, implement, and optimize end‑to‑end machine learning pipelines from data ingestion to model deployment.
- Collaborate with data scientists and product teams to translate business requirements into scalable AI solutions.
- Deploy models on AWS services (SageMaker, ECS, Lambda) using Docker containers and maintain CI/CD workflows.
- Monitor model performance in production, perform drift detection, and iterate on model retraining.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- 5+ years of professional experience in AI/ML engineering.
- Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.
- Hands‑on experience with AWS services, Docker, and Git-based version control.
- Strong problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
- Excellent communication skills in Dutch and English.
Skills
pythontensorflowpytorchawsdocker