Key Responsibilities

• 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...