IT Software Engineer 3 - MLOps (86511-1) (86512-1)

IT Software Engineer 3 (86511-1) (86512-1)

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 $79/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.