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System Architect - AI Engineering & Deployment 6 Month Contract - Deloitte
Software Architect
Seasoned System Architect to design, build, and deploy AI solutions on cloud platforms, leveraging Python, machine‑learning frameworks, and container orchestration to deliver scalable, production‑ready models.
About the role
Key Responsibilities
- Architect end‑to‑end AI pipelines, from data ingestion to model serving, ensuring scalability and reliability.
- Design cloud‑native infrastructure on AWS, incorporating Docker and Kubernetes for containerized deployments.
- Implement CI/CD workflows to automate model training, testing, and release cycles.
- Collaborate with data scientists and engineering teams to translate research prototypes into production‑grade services.
- Establish best practices for monitoring, logging, and security of AI workloads in a hybrid environment.
Requirements
- 5+ years of experience in system architecture or senior engineering roles focused on AI/ML solutions.
- Proficiency in Python and major machine‑learning libraries (e.g., TensorFlow, PyTorch, Scikit‑learn).
- Hands‑on experience with AWS services (SageMaker, EC2, S3) and container orchestration using Docker and Kubernetes.
- Strong background in CI/CD tools (Jenkins, GitLab CI, GitHub Actions) and infrastructure‑as‑code concepts.
- Excellent problem‑solving skills and ability to work collaboratively in a fast‑paced, hybrid team.
Skills
pythonmachine learningawsdockerkubernetescicd