MLOps Engineer
- Canada
Contract
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Job details
- Job type
- Contract
- Posting language
- English
- Posted
Original job description
Looking for a Senior DevOps/MLOps Engineer with strong hands-on experience supporting production AI/ML platforms and Kubernetes environments.
🔹 Kubernetes | AWS EKS | Volcano/Kueue | MLOps
🔹 Terraform | Helm | CI/CD | Python/Golang | Linux
🔹 Prometheus | Grafana | GPU Workloads | MLflow/Kubeflow
🔹 Experience with ML model deployment, distributed systems & production ML platforms
More about this job
Responsibilities
Support production AI/ML platforms and Kubernetes environments. Deploy ML models and support distributed systems and production ML platforms.
Requirements
The role seeks a senior DevOps/MLOps engineer with strong hands-on experience supporting production AI/ML platforms and Kubernetes environments. Relevant experience includes ML model deployment, distributed systems, and the listed cloud, infrastructure, monitoring, and MLOps tools.
Skills
- Kubernetes
- AWS EKS
- Volcano
- Kueue
- MLOps
- Terraform
- Helm
- CI/CD
- Python
- Golang
- Linux
- Prometheus
- Grafana
- GPU Workloads
- MLflow
- Kubeflow
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- DevOps
- MLOps
- AI/ML Platforms
- Kubernetes
- AWS EKS
- Volcano
- Kueue
- Terraform
- Helm
- CI/CD
- Python
- Golang
- Linux
- Prometheus
- Grafana
- GPU Workloads
- MLflow
- Kubeflow
- ML Model Deployment
- Distributed Systems
- Production ML Platforms