Jobs → Engineering → MLOps / DevOps Engineer

About the Role We are seeking an MLOps / DevOps Engineer for a long-term contract position in Chicago, IL. This role involves managing cloud infrastructure and deploying machine learning models in production environments. Key Responsibilities • Implement and maintain MLOps pipelines using tools like MLflow, Kubeflow, and SageMaker • Manage containerized applications with Docker and Kubernetes • Set up CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI • Automate infrastructure provisioning with Terraform or CloudFormation • Monitor system performance with Prometheus, Grafana, Datadog, or CloudWatch • Deploy and maintain production ML models Requirements • Experience with AWS, Azure, or GCP • Strong knowledge of MLOps tools and ML lifecycle management • Proficiency in Docker and Kubernetes • Familiarity with CI/CD practices and tools • Experience with infrastructure as code using Terraform or CloudFormation • Python and Bash scripting skills • Understanding of ML model deployment and monitoring Good to Have • Experience with Generative AI and LLM deployment • Knowledge of model serving and API gateways • Relevant cloud certifications • Experience in banking or financial services