AI Engineer
Apolis
AI Engineer
We are seeking an AI Engineer to join our team. This role is crucial for building, operating, and scaling the infrastructure and tooling that power AI/ML and generative AI workloads. The successful candidate will focus on cloud platform engineering, CI/CD automation, and MLOps practices to enable reliable, secure, and scalable delivery of AI systems.
Basic Qualifications:
- 7 years of experience in platform engineering, DevOps, or infrastructure engineering roles
- Strong hands-on expertise with Google Cloud Platform (GCP)
- Proficiency in Infrastructure as Code (Terraform preferred)
- Strong scripting/programming skills (Python, Bash, or Go)
- Experience with containerization and orchestration (Docker, Kubernetes)
Required Skills:
- Designing and managing CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, GitLab CI, ArgoCD)
- Solid understanding of MLOps concepts and the ML lifecycle
- Experience with observability tooling (Cloud Monitoring, Prometheus, Grafana, ELK/EFK)
- Strong understanding of cloud security, IAM, and secrets management best practices
Preferred Qualifications:
- GCP Professional certifications (Cloud DevOps Engineer, Cloud Architect, or Machine Learning Engineer)
- Experience supporting generative AI / LLM platforms
- Experience with GitOps workflows (ArgoCD, Flux)
- Background working in regulated or enterprise-scale environments
- Familiarity with cost optimization and FinOps practices on GCP
Role and Responsibilities:
- Design, build, and maintain scalable cloud infrastructure on GCP to support AI/ML and application workloads
- Architect and manage CI/CD pipelines for model training, deployment, and application release workflows
- Build and maintain MLOps pipelines for model versioning, training, deployment, and monitoring
- Implement Infrastructure as Code for repeatable, auditable environment provisioning
- Containerize and orchestrate services using Docker and Kubernetes
- Establish observability, logging, and alerting for AI/ML services
- Partner with AI/ML engineers and data scientists to productionize models
- Ensure platform security, IAM policies, secrets management, and compliance
- Drive automation to reduce manual toil across build, test, deployment, and rollback processes
- Troubleshoot platform/infrastructure issues and drive root-cause resolution for production incidents
Vacancy posted 1 day ago
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