IT Software Engineer

Date Posted: 02/09/2026

Hiring Organization:
Rose International

Position Number: 496795

Industry: Manufacturing

Job Title:

IT Software Engineer

Job Location:

Chicago, IL, USA, 60661

Work Model:
Hybrid

Work Model Details:
Onsite 2-3 days/week

Shift: M-F, 8:30am - 4:30pm

Employment Type:

Temporary

FT/PT:
Full-Time

Estimated Duration (In months): 13

Min Hourly Rate($): 60.00

Max Hourly Rate($): 67.00

Must Have Skills/Attributes: CICD, Cloud, Java, MLOps (Machine Learning Operations), Python

Experience Desired:
Experience with Python, Java, MLOps frameworks (5 yrs)

Required Minimum Education:

Bachelor’s Degree

Preferred Education:

Master’s Degree

Education Requirements:

• Bachelor's degree

• 5+ years of experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
• Experience with MLOps frameworks like MLflow, Kubeflow, etc.
• Proficiency in programming (Python, R, SQL)
• Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
• Strong understanding of Dev Ops principles and practices, CI/CD, etc. and tools (Git, Git Hub, jFrog Artifactory, Azure Dev Ops, etc.)
• Experience with containerization technologies like Docker and Kubernetes
• Strong communication and collaboration skills
• Ability to help work with a team to create User Stories and Tasks out of higher-level requirements.

The MLOps Platform Team works within the Enterprise Data and Analytics Organization. Driving the ability to work with Internal Teams to be able to support the full life-cycle of AI and machine learning development through to beyond production. Helping build a platform that enables data driven decisions across the enterprise, helping teams build high-value data and AI/ML products, and enable the operationalization and reliability of all models.

The role will build the MLOps Platform, build self-service ML Development tooling, and building platform adoption.

• Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications
• Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training.
• Collaborate with internal stakeholders to build a comprehensive MLOps Platform
• Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
• Develop standards and examples to accelerate the productivity of data science teams.
• Run code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift
• Create way to automate the testing, validation, and deployment of data science models
• Provide best practices and execute POC for automated and efficient MLOps at scale

For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).