ML Engineer (MLOps)

• Participate in Scrum ceremonies and collaborate with cross-functional teams
• Write and implement clean,scable and production-ready ML code
• Resolve issues flagged by linters,code scanners and automated tools
• Design,train and optimize machine learning models
• Collaborate with data engineers and DevOps for seamless model integration

Overview

• Industry - ICTE, Information, Communication, Telecom Equipment & Smart City Components Manufacturing, IT - INFORMATION TECHNOLOGY , IT Services - Animation / Web Design / E-Commerce / Mobile App Design
• Functional Area - Data Analytics & Business Intelligence / Statistics, IT Software Maintenance / Operations / Support Services
• Job Role - Data Science Associate, ETL Developer
• 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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