Machine Learning Operations (ML Ops) Engineer

• Build, deploy, and maintain scalable machine learning models in production environments.
• Develop ML pipelines, automate model training, testing, deployment, and monitoring processes.
• Implement CI/CD practices for machine learning workflows and cloud-based ML platforms.
• Monitor model performance, data quality, and resolve production issues.
• Collaborate with data scientists, engineers, and DevOps teams to operationalize AI solutions.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Job Role - Machine Learning Operations (ML Ops) Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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