IT Software Engineer 3 (MLOps Engineer)

IT Software Engineer 3 (MLOps Engineer) at Cullerton Group IT Software Engineer 3 (MLOps Engineer) at Cullerton Group in Elk Grove Village, Illinois Posted in 24 minutes ago.

Type:

full-time

Job Description:

Cullerton Group has a new opportunity for an IT Software Engineer 3 (MLOps Engineer). 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). Job Summary 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. Key Responsibilities

• 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 Required Qualifications
• 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) Preferred Qualifications
• 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 Why This Role?

This role offers the opportunity to work on high-impact AI/ML platforms that support data-driven decision-making across a large enterprise environment. You'll collaborate with highly skilled engineers and data scientists while helping shape scalable, production-ready ML systems. Cullerton Group provides a professional environment with strong growth potential, exposure to modern technologies, and long-term career opportunities.