ML Architect

1. Deliver data-driven insights from structured and unstructured data
2. Use GCP tools(Vertex AI,AutoML,BQML) for ML model development
3. Lead analytics solution design and implementation
4. Support pre-sales with technical expertise & proposals
5. Create client-facing reports & presentations
6. Mentor junior data cientists & standardize best practices

Overview

• Industry - IT - INFORMATION TECHNOLOGY , STATISTICS / ANALYTICS / ACTURIAL SCIENCE / DATA MANAGEMENT FIRMS
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Science Associate, Other Data Analytics & Business Intelligence / Statistics
• 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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