ML Engineer
Kforce has a client that is seeking a hybrid ML Engineer to join their team. They are seeking a skilled DevOps/MLOps Engineer to support infrastructure, CI/CD pipelines, and cloud operations for AI-powered platform initiatives. This is a fast-paced, high-impact engagement requiring immediate contribution. Responsibilities:
- Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)
- Manage cloud infrastructure on AWS/Azure/GCP using Terraform or CloudFormation (IaC)
- Support containerization and orchestration via Docker and Kubernetes
- Monitor system health, respond to incidents, and implement SLO/SLA tracking
- Collaborate with development teams to optimize deployment workflows
- Implement security best practices (secrets management, IAM, network policies)
- Participate in on-call rotation as needed
- 5+ years of DevOps/Platform Engineering experience
- Strong proficiency with cloud platforms (AWS preferred)
- Experience with Kubernetes (EKS, GKE, or AKS)
- Proficiency with Terraform or equivalent IaC tooling
- Solid understanding of CI/CD principles and GitOps workflows
- Experience with observability tooling (Datadog, Grafana, Prometheus, or equivalent)
- Strong scripting skills (Bash, TypeScript or Python)
- AWS Certifications (Solutions Architect, DevOps Engineer)
- Experience with AI/ML infrastructure (GPU workloads, model serving)
- Familiarity with Nx monorepo or similar large-scale build systems
- Experience with LLM API integrations or AI platform tooling
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