Machine Learning Engineer

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 best practices.

Ana...