remoteonsite
Senior AI Systems Engineer - SAP
Systems Engineer
Lead the design, deployment, and scaling of AI solutions using Python, Machine Learning, and Deep Learning on AWS, orchestrated with Kubernetes and Docker, while ensuring robust CI/CD pipelines and high‑availability production systems.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines, from data ingestion to model serving, using Python and popular ML frameworks.
- Design scalable, containerized microservices on Kubernetes, ensuring high availability and fault tolerance.
- Integrate models into cloud environments (AWS) with automated CI/CD workflows for rapid iteration and deployment.
- Collaborate with data scientists, product managers, and DevOps teams to translate business requirements into technical solutions.
- Monitor model performance in production, applying drift detection and retraining strategies.
Requirements
- 5+ years of experience in AI/ML engineering, with a strong background in Python and deep learning frameworks.
- Proven expertise in deploying ML models on AWS using services such as SageMaker, ECS/EKS, and Lambda.
- Hands‑on experience with Kubernetes, Docker, and CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
- Strong understanding of software engineering best practices, including version control, testing, and documentation.
- Excellent communication skills and a collaborative mindset to work across multidisciplinary teams.
Skills
pythonmachine learningdeep learningawskubernetesdockercicd