Architect and Develop AI/ML Pipelines:
- Design and implement large-scale, production-grade AI/ML pipelines using appropriate tools and algorithms.
- Lead the full end-to-end ML lifecycle: model development, deployment, monitoring, and optimization for both on-prem and cloud environments.
Data Solution Design and Management:
- Define, develop, and sustain data solutions including storage, processing units, and user interfaces for industrial-grade applications.
- Build multi-tenant data collectors and storage systems.
- Implement streaming and batch data processing for near-real-time flows.
Data Modeling and Quality:
- Design scalable data models (SQL and NoSQL).
- Assess and improve data quality across incoming data flows.
- Apply data management and security b...