onsite
Associate AI / Cloud Integration Engineer - The Aerospace Corporation
Implementation Engineer
Entry‑level engineer focused on designing and deploying AI and cloud‑native solutions for space‑grade systems, leveraging Python, AWS, and Kubernetes to build scalable, secure data pipelines and model inference services.
About the role
Key Responsibilities
- Design, develop, and maintain AI/ML pipelines and cloud‑native services using Python and AWS.
- Implement containerized workloads with Kubernetes, ensuring high availability and scalability.
- Collaborate with cross‑functional teams to integrate AI models into mission‑critical space systems.
- Automate CI/CD workflows and infrastructure provisioning with DevOps best practices.
- Monitor, troubleshoot, and optimize performance of cloud resources and AI workloads.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Strong programming skills in Python and experience with AWS services (S3, Lambda, SageMaker).
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Knowledge of machine learning concepts and model deployment.
- Excellent problem‑solving skills and ability to work in a collaborative, mission‑critical environment.
Skills
pythonawsmachine learningkubernetes