AI Engineering with Hardware testing

Enterprise Mobility Inc is seeking an experienced AI Engineer to develop and deploy Generative AI solutions, scalable data pipelines, and real-time data applications. The role also focuses on hardware testing and validation, data quality, system integration, and collaboration across hardware, firmware, software, and data engineering teams.

Responsibilities:

• Design, develop, and deploy applications using multiple Generative AI models (LLMs, multimodal models, embedding models, etc.)
• Evaluate and integrate different GenAI models based on business use cases, performance, cost, and latency
• Develop scalable data pipelines using Python for data processing, analytics, and AI model integration
• Process and analyze live/streaming data to build real-time dashboards, visualizations, and alert mechanisms
• Implement robust data quality validation processes to identify and resolve data inconsistencies
• Perform hardware testing and validation, ensuring seamless integration between hardware devices and AI/software applications
• Develop and execute hardware test plans, perform functional and performance testing, and troubleshoot hardware-related issues
• Collaborate with hardware, firmware, software, and data engineering teams to validate end-to-end system functionality
• Optimize AI applications and data pipelines for performance, scalability, and reliability