SMX Services & Consulting, Inc.
MLOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOps Engineer in Chicago, IL, with a contract length of "unknown" and a pay rate of "unknown." Candidates need a Bachelor's or Master's degree in a related field, 5+ years of experience, and strong skills in Python, cloud MLOps, and DevOps practices.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
408
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#C++ #AWS (Amazon Web Services) #Java #Golang #Automation #SQL (Structured Query Language) #Deployment #Programming #Docker #Azure DevOps #Data Processing #Python #Scala #Agile #R #Azure #Version Control #Cloud #Computer Science #MLflow #Artifactory #Kubernetes #Data Science #ML (Machine Learning) #DevOps #GitHub #GIT
Role description
MLOps Engineer
Location: Chicago, IL
Position Summary
Seeking an experienced MLOps Engineer to design, build, and support scalable machine learning infrastructure and cloud-based MLOps pipelines. The ideal candidate will have strong software engineering, DevOps, and cloud experience, with expertise in automating the ML lifecycle from development through production deployment.
Required Qualifications
• Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience in Computer Science, Data Science, Engineering, or a related field.
• Strong programming skills in Python, Golang, Java, or C/C++.
• Hands-on experience with MLOps platforms such as MLflow, Kubeflow, or similar tools.
• Proficiency in Python, R, and SQL for data processing, model development, and automation.
• Experience building scalable cloud-based MLOps solutions, preferably on AWS.
• Strong understanding of DevOps practices, CI/CD pipelines, and version control.
• Experience with Git, GitHub, JFrog Artifactory, Azure DevOps, or similar tools.
• Hands-on experience with Docker and Kubernetes.
• Excellent communication, collaboration, and Agile delivery skills.
Preferred Qualifications
• Experience working in Agile environments.
• Strong automation and problem-solving capabilities.
• Passion for building reliable, scalable, production-ready machine learning platforms and infrastructure.
MLOps Engineer
Location: Chicago, IL
Position Summary
Seeking an experienced MLOps Engineer to design, build, and support scalable machine learning infrastructure and cloud-based MLOps pipelines. The ideal candidate will have strong software engineering, DevOps, and cloud experience, with expertise in automating the ML lifecycle from development through production deployment.
Required Qualifications
• Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience in Computer Science, Data Science, Engineering, or a related field.
• Strong programming skills in Python, Golang, Java, or C/C++.
• Hands-on experience with MLOps platforms such as MLflow, Kubeflow, or similar tools.
• Proficiency in Python, R, and SQL for data processing, model development, and automation.
• Experience building scalable cloud-based MLOps solutions, preferably on AWS.
• Strong understanding of DevOps practices, CI/CD pipelines, and version control.
• Experience with Git, GitHub, JFrog Artifactory, Azure DevOps, or similar tools.
• Hands-on experience with Docker and Kubernetes.
• Excellent communication, collaboration, and Agile delivery skills.
Preferred Qualifications
• Experience working in Agile environments.
• Strong automation and problem-solving capabilities.
• Passion for building reliable, scalable, production-ready machine learning platforms and infrastructure.
