Senior Embedded Controls EngineerAs an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring.
Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.Your responsibilities:Design and develop real time AI Neural Network solutions for transportation industry maintenance equipment.Implementing appropriate ML algorithms.Write clean, documented code following best practices.Develop and implement communication protocols.Work independently and collaboratively with a motivated team.Generate requirements and design documentation.Plan for, design, and deliver testing, and tested products into the QA process.Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.