remote
Forward Deployment Engineer - Frontier AI Deployments - Accellor
Software Engineer
Lead end‑to‑end AI model deployment, orchestrating containerized workloads on Kubernetes, automating pipelines with CI/CD, and ensuring scalable, secure production environments on AWS.
About the role
Key Responsibilities
- Design, build, and maintain CI/CD pipelines for AI model deployment using GitHub Actions, Jenkins, or equivalent.
- Containerize ML models with Docker and orchestrate them on Kubernetes clusters, ensuring high availability and autoscaling.
- Implement observability, logging, and monitoring for deployed services using Prometheus, Grafana, and ELK stack.
- Collaborate with data scientists and product teams to translate model artifacts into production‑ready services.
- Optimize resource utilization and cost on AWS (EKS, ECS, S3, SageMaker) while maintaining security compliance.
Requirements
- 3+ years of experience in AI/ML model deployment and MLOps.
Skills
pythonkubernetesdockercicdaws