MLOps Engineer

Role & responsibilities

• Design, build and maintain efficient, reusable, and reliable MLOps pipelines.
• Deploy production-grade machine learning solutions and monitor their performance.
• Collaborate with the data science team to improve the deployment process and operational efficiency.
• Implement automation tools and frameworks (CI/CD pipelines).
• Conduct systems tests for security, performance, and availability

Preferred candidate profile

• 5-10 years of experience in MLOps, DevOps, or similar role.
• Proficiency in Python programming and Azure MLOps.
• Experience with machine learning models, data pipelines, and architectures.
• Familiarity with cloud architecture and containerization.
• Knowledge of data engineering and big data systems.

In case if your interested Please share resume to below email id's.

skalburge@primehealthcare.com

mvuyyala@primehealthcare.com