onsite
Senior AI Platform Engineer - SS&C
Devops Engineer
Lead the design and deployment of scalable AI solutions on cloud platforms, leveraging Python, ML frameworks, and container orchestration to deliver high‑performance models for financial and healthcare clients.
About the role
Key Responsibilities
- Architect and maintain end‑to‑end AI pipelines on AWS, ensuring high availability and scalability.
- Develop and optimize machine learning models using Python and popular frameworks (TensorFlow, PyTorch).
- Containerize services with Docker and orchestrate with Kubernetes for efficient deployment.
- Implement CI/CD workflows to automate testing, integration, and release of AI components.
- Collaborate with data scientists, product managers, and DevOps teams to translate business requirements into technical solutions.
Requirements
- 5+ years of experience in AI/ML engineering and cloud infrastructure.
- Proficiency in Python, AWS services (SageMaker, ECS, EKS), and container technologies.
- Strong understanding of Kubernetes architecture and Helm charts.
- Experience with CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD).
- Excellent problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.
Skills
pythonmachine learningawskubernetesdockercicd