Job Description
Job Description
Overview
CTG is seeking to fill a ML OPS Engineer position for our client in Phoenix, AZ.
Duration: 12 months
Duties:
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Build, deploy, and maintain robust machine learning pipelines and production workflows.
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Collaborate with data science and engineering teams to operationalize ML models at scale.
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Monitor, troubleshoot, and optimize model performance in real-time production environments.
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Implement automated CI/CD pipelines for ML workflows and ensure reproducibility across experiments.
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Manage version control for code, datasets, and model artifacts.
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Apply DevOps best practices to ML systems, ensuring reliability, security, and scalability.
Skills:
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Expert in Python for ML, data processing, and scripting.
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Proficient with Git version control (GitHub, GitLab, BitBucket, SVN).
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Solid understanding of ML model lifecycle, deployment, and monitoring.
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Experience with containerization, orchestration (Docker, Kubernetes), and cloud platforms is a plus.
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Strong problem-solving and automation mindset.
Experience:
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Proven experience deploying and maintaining ML models in production environments.
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Hands-on experience with ML pipelines, CI/CD for ML, and collaboration in cross-functional teams.
Education:
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Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.
CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.
To Apply:
To be considered, please apply directly to this requisition using the link provided. For additional information, please contact JoAnn Abramo at JoAnn.Abramo@ctg.com. Kindly forward this to any other interested parties. Thank you!