onsite
AI Platform Engineer - Software Integration and Infrastructure - Keysight Technologies
Devops Engineer
AI Platform Engineer focused on building scalable, cloud‑native services that integrate scientific ML models into simulation and measurement workflows, leveraging Python, AWS, Kubernetes, Docker and CI/CD pipelines.
About the role
Key Responsibilities
- Design, develop, and maintain cloud‑native services that expose AI/ML models for simulation and measurement applications.
- Implement scalable, containerized workloads on Kubernetes, ensuring high availability and performance.
- Automate deployment pipelines using CI/CD tools and infrastructure as code (e.g., Terraform, CloudFormation).
- Collaborate with cross‑functional teams to integrate AI models into existing software stacks and validate results.
- Monitor, troubleshoot, and optimize service performance, applying best practices for observability and security.
Requirements
- Proficiency in Python and experience building production‑grade ML services.
- Hands‑on experience with AWS services (ECS/EKS, S3, Lambda) and Kubernetes orchestration.
- Strong knowledge of Docker, CI/CD pipelines, and infrastructure as code.
- Familiarity with scientific ML frameworks (PyTorch, TensorFlow) and model deployment strategies.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced environment.
Skills
pythonmachine learningawskubernetesdockercicd