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Posted on 1 Aug, 2025
Hybrid
Job Description | Responsibilities
- Design scalable ML deployment infra using Kubernetes and Docker
- Implement CI/CD for ML pipelines
- Enforce security best practices
- Set up monitoring for models,systems and data
- Manage workflow using Airflow
- Collaborate across teams to optimize ML lifecycle
- Resolve performance and reliability issues
Overview
- Industry - IT - INFORMATION TECHNOLOGY , STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS, Machine Learning / ML / Artificial Intelligence / AI
- Functional Area - Data Analytics & Business Intelligence / Statistics, IT Robotics & Automation / IoT / Machine Learning, DevOps / Configuration And Deployment Management
- Job Role - AI-ML Engineer, DevOps Engineer
- Employment type - Full Time - Permanent
- Work Mode - Hybrid
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
ML Infrastructure
Docker
CI/CD Pipelines
Model Monitoring
Data Reliability
Devops for ML