AI/ML Software Engineer – Gateway & Edge AI

About this kind of role

What a AI/ML Software Engineer – Gateway & Edge AI usually does. The employer's own details are in the listing.

Typically does: This role involves designing, developing, and testing software solutions that incorporate artificial intelligence and machine learning. Work often focuses on deploying AI models to edge devices or integrating them into gateway systems for real-time data processing. Responsibilities include optimizing AI algorithms for performance and resource constraints, and ensuring the reliability and security of AI-powered applications. They may also be involved in data pipeline development and model deployment automation.

Tools and skills: Proficiency in programming languages like Python and C++, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms and edge computing technologies are commonly required.

Good fit for: Individuals with a strong foundation in computer science, mathematics, and a passion for building intelligent systems that operate efficiently in distributed environments often excel in this field.