MLOps Engineer : Cincinnati, OH Onsite : Contract

Tech Mirrors

Cincinnati (OH)

On-site

USD 76,000 - 83,000

Full time

7 days ago
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Job summary

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

Qualifications

  • 8-10 years of experience in MLOps or related field.
  • Proficient in building scalable ML pipelines and deploying models to production.
  • Experience with containerization and orchestration tools (Docker, Kubernetes).

Responsibilities

  • Design, deploy, automate, and monitor machine learning solutions in production.
  • Bridge Data Science, ML, and DevOps to build scalable MLOps pipelines.
  • Implement CI/CD processes and manage model lifecycle operations.

Skills

Python
MLflow
Docker
Kubernetes
Cloud platforms
CI/CD
Model lifecycle

Tools

CI/CD

Job description

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

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