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Tech Mirrors in Cincinnati, OH is seeking an experienced MLOps Engineer on a contract basis to design, deploy, automate, and monitor machine learning solutions in production. You will bridge Data Science and DevOps to build scalable ML pipelines and ensure reliable model performance.
Proficiency in Python, MLflow, Docker, Kubernetes, cloud platforms, and ML deployment frameworks is required. You will implement CI/CD, manage model lifecycles, and build secure, scalable infrastructure for AI
Job Role: MLOps Engineer
Job Location: Cincinnati, OH Onsite (5days/week)
Job Type: Contract
Pay Range: $55 –$60 /hour
MLOps Engineer with experience designing, deploying, automating, and monitoring machine learning solutions in production environments.
Skilled in bridging the gap between Data Science, Machine Learning, and DevOps by building scalable MLOps pipelines, implementing CI/CD processes, managing model lifecycle operations, and ensuring reliable model performance.
Proficient in Python, MLflow, Docker, Kubernetes, cloud platforms, and machine learning deployment frameworks.
Experienced in developing secure, automated, and scalable infrastructure that enables efficient delivery of AI and machine learning solutions.
Essential Skills: ML Engineer
Skills: Digital : Machine Learning
Experience Required: 8-10