onsite
AI Product Engineer - camPoint AG
Software Engineer
Lead the design, development, and deployment of AI-driven products using Python and ML frameworks on AWS, ensuring scalable, containerized solutions with Docker and Kubernetes.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines, from data ingestion to model serving, using Python and popular ML libraries.
- Design and maintain scalable, containerized microservices on AWS, leveraging Docker and Kubernetes for deployment and orchestration.
- Develop and expose robust RESTful APIs to integrate AI models with front‑end and third‑party services.
- Collaborate with data scientists to translate research prototypes into production‑ready solutions.
- Monitor model performance, implement A/B testing, and iterate on models based on real‑world feedback.
Requirements
- Proven experience in Python development and machine learning model deployment.
- Hands‑on expertise with AWS services (SageMaker, ECS/EKS, Lambda) and container technologies.
- Strong understanding of REST API design and microservices architecture.
- Excellent problem‑solving skills and ability to work in an agile, cross‑functional team.
Skills
pythonmachine learningawsdockerkubernetes