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MLOps Engineer
External job listingat Inceptrasolutions
Tasks Build scalable MLOps infrastructure, automate ML deployment pipelines, manage containerized applications, and ensure reliable, high-performing production ML systems. Requirements 5+...
External source - not verified4 days agoOpen until: Feb 3, 2027
Salary
Not provided
Location
Chicago, United States
Employment type
Full time
Workplace
Not provided
MLOps Engineer
Chicago, United States
Job description
Tasks
- Build scalable MLOps infrastructure, automate ML deployment pipelines, manage containerized applications, and ensure reliable, high-performing production ML systems.
Requirements
- 5+ Years Overall
- 3+ Years MLOps/DevOps
- Strong hands-on experience with Python and MLOps/DevOps
- AWS / Azure / GCP
- MLflow, Kubeflow, AWS SageMaker, Azure ML, or Databricks
- Docker and Kubernetes
- CI/CD: Jenkins, GitHub Actions, GitLab CI, Azure DevOps
- IaC: Terraform or CloudFormation
- Monitoring: Prometheus, Grafana, Datadog, CloudWatch
- ML Model Deployment, Serving, Monitoring & Lifecycle Management
- Good to Have: GenAI, LLM Deployment & LLMOps
- Cloud Certifications
- Financial Services / Regulated Industry Experience
- Enterprise-Level Production ML Deployments
Location
- Chicago, IL (Onsite)