Machine Learning Engineer

1. Design, train & deploy ML models in production

2. Build scalable pipelines with Azure ML

3. Perform ETL, feature engineering & big data processing

4. Implement MLOps best practices (versioning, monitoring, retraining)

5. Collaborate with product teams for AI solutions

6. Optimize models for accuracy, latency & scale

Overview

• Industry - IT - INFORMATION TECHNOLOGY , STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - Machine Learning Engineer, AI-ML Engineer
• 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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