Fulfillment IQ - MLOps Engineer

• Build and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
• Deploy machine learning models to production using containerization tools like Docker and orchestration systems like Kubernetes
• Set up continuous integration and continuous deployment (CI/CD) pipelines for ML workflows

Overview

• Industry - IT - INFORMATION TECHNOLOGY
• Functional Area - Other
• Job Role - Other
• Employment type - Full Time - Permanent
• Work Mode - Hybrid

Qualifications

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

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