Define direction within strategic goals; influence multiple teams.
Bridge technical innovation with business challenges using ML to deliver results.
Deliver predictive models and actionable insights for stakeholders.

🎯 Requirements

Bachelor's in CS or Engineering; 8–12 yrs leading complex projects.
Advanced ML & Statistics: end-to-end ML; imbalanced data, drift, causal inference.
Core tech: Python (Pandas, NumPy) or R; cloud ML services.
Business Immersion: Translate business needs into engineering solutions.
Full-Stack Agility: Build complete apps across stacks, balancing debt and speed.
Data Strategy & Integration: Architect scalable data strategies; governance; warehousing.

🎁 Benefits

Challenging and rewarding work with real impact
Direct Access to Cutting-Edge AI Platforms
Diverse and Inclusive Culture
Growth opportunities for personal and professional development
Hybrid working model

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