IT Software Engineer ; MLOps Engineer

Cullerton Group has a new opportunity for an IT Software Engineer 4 (MLOps Engineer). The work will be done hybrid, with onsite expectations 2–3 days per week at the client’s Chicago, IL office (540 W Madison). This is a long-term 12-month position that can lead to permanent employment with our client. Compensation is up to $92/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay).

Cullerton Group is seeking an experienced MLOps Engineer to support the design, development, and operation of a scalable enterprise MLOps platform. This role focuses on enabling the full lifecycle of machine learning models—from development through production—by building cloud-based pipelines, tooling, and deployment frameworks. The engineer will collaborate closely with data scientists, engineers, and Agile teams to improve platform adoption, reliability, and usability.

This position is ideal for someone passionate about operationalizing AI/ML solutions at scale.

• Design scalable, secure architectures for building and deploying production ML applications
• Build and maintain MLOps pipelines, frameworks, and self-service development tooling
• Enable and support internal users of the ML platform through troubleshooting and documentation
• Implement CI/CD practices, containerization, deployment, versioning, and monitoring
• Automate testing, validation, and deployment of machine learning models

• Bachelor’s degree with 8+ years of experience, or Master’s degree with 6+ years of experience
• 8+ years of experience with object-oriented programming (Python, Java, Go, C/C++, etc.)
• Strong experience with MLOps frameworks such as MLflow or Kubeflow
• Proficiency in Python, R, and SQL
• Experience building cloud-based MLOps solutions (AWS preferred)
• Strong understanding of Dev Ops practices, CI/CD, and tools such as Git, Docker, and Kubernetes

• Experience with model inference systems and advanced deployment methods
• Familiarity with tools such as Seldon, Helm, Terraform, or Cloud Formation
• Exposure to observability and monitoring tools for ML systems
• Ability to work independently, take initiative, and contribute without close supervision

This role offers the opportunity to work on high-impact AI/ML platform initiatives that support enterprise-scale data and analytics solutions. You will collaborate with highly skilled technical teams, contribute to modern cloud and MLOps architectures, and gain exposure to advanced machine learning operational practices. Cullerton Group provides a professional environment with strong growth potential and long-term career opportunities.