IT Software Engineer 3 (MLOps Engineer)
Role details
Job location
Tech stack
Job description
Cullerton Group is seeking a skilled IT Software Engineer (MLOps Engineer) to support the development and operation of an enterprise-grade MLOps platform. This role focuses on enabling the full lifecycle of machine learning models-from development through deployment and production support. The engineer will work closely with data scientists, engineers, and platform teams to build scalable, reliable, and user-friendly ML tooling. This position is ideal for someone passionate about AI/ML infrastructure, automation, and platform engineering., * Design scalable, secure architectures and pipelines for building, deploying, and monitoring production ML applications
- Build and enhance MLOps platforms and self-service ML development tooling
- Collaborate with internal teams to enable ML platform adoption and troubleshoot user issues
- Develop CI/CD pipelines, automation, and best practices for model deployment and lifecycle management
- Implement containerization, versioning, monitoring, and drift detection for ML models
Requirements
- Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience
- 5+ years of experience with object-oriented programming (Python, Java, Go, C/C++, etc.)
- Hands-on experience with MLOps frameworks such as MLflow or Kubeflow
- Strong proficiency in Python, SQL, and data-driven development
- Experience designing and deploying cloud-based solutions (AWS preferred)
- Experience with CI/CD, DevOps practices, Git-based workflows, and containerization (Docker, Kubernetes), * Experience building model inference systems and advanced deployment strategies
- Familiarity with tools such as Helm, Helmfile, Terraform, or CloudFormation
- Exposure to ML observability and monitoring tools
- Strong communication skills and ability to translate high-level requirements into actionable tasks
Benefits & conditions
The work will be done onsite or hybrid, with an expectation of working onsite 2-3 days per week in Chicago, IL. This is a long-term, 12-month position that can lead to permanent employment with our client. Compensation is up to $85/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay).