Jobs / UST
MLOps Engineer
UST · Chicago, IL, United States
Chicago, IL, United States72,000-108,000 USD/yearlyRemote
Remuneration
72,000-108,000 USD/yearly
Location
Chicago, IL, United States
Visa sponsorship
Not specified
Job summary
UST is seeking an MLOps Engineer to automate model training, testing, deployment, and monitoring workflows, while collaborating with Data Engineers and DevOps teams.
Qualifications
- Strong Python programming skills
- Hands-on expertise with MLflow, Kubeflow, Amazon SageMaker, AWS Step functions, ECS
- Knowledge of Docker and Kubernetes
- Experience with CI/CD tools and DevSecOps practices
- Familiarity with Terraform, CloudFormation, or similar IaC tools
- Understanding of model monitoring, observability, and performance optimization
- Experience taking ML/AI solutions from Proof of Concept (PoC) to Production
- Strong problem-solving and stakeholder management skills
Responsibilities
- Automate model training, testing, deployment, and monitoring workflows
- Implement model versioning, experiment tracking, and model registry solutions
- Monitor model performance, drift, and operational health in production environments
- Collaborate with Data Engineers and DevOps teams to operationalize ML solutions
- Establish governance, security, access control, and auditability processes for ML platforms
Skills
AirflowAWSCloudFormationDatabricksDockerECSKafkaKubernetesPythonSnowflakeSparkTerraform
Relocation
No