Senior MLOps EngineerSenior MLOps Engineer

• Focuses on streamlining the entire machine learning lifecycle, from development to deployment and monitoring.
• Responsible for building and maintaining the infrastructure and pipelines that enable data scientists to develop, deploy, and monitor machine learning models efficiently and reliably.
• Bride gap between data science and softwre engineen

Overview

• Industry - IT - INFORMATION TECHNOLOGY , IT - Computer Hardware & Peripherals | Networking / Printers / Ink Toners / Other Accessories, IT - Consulting Services / Advisory Services, Machine Learning / ML / Artificial Intelligence / AI
• Functional Area - Production / Manufacturing, Site Engineering / Project Management, IT Web Designing / Mobile App / Animation / Graphics, IT Software Programming / Analysis / Quality / Testing / Training, IT Robotics & Automation / IoT / Machine Learning
• Job Role - QA Performance Testing Engineer, Technical Solution Engineer, Software Developer IoT, Cloud, ML, Big Data Analytics
• Employment type - Full Time - Fixed Term Employment
• Work Mode - In Office

Qualifications

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

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