Data Science Engineer

Wabtec is hiring for the role of Data Science Engineer! Responsibilities of the Candidate: • Own the implementation and deployment of the embedded vision software platform for Wabtec Bus Solutions products, including applications in enhanced sensing for bus and charging pantograph applications. • Work closely with the DAT ML engineers to build and deploy highly scalable AI solutions in line with processes and standards set by the DAT team. • Investigate and identify opportunities for the use of AI to create new solutions or enhance existing products in the transit bus industry. • Expected to stay in tune with latest trends in artificial intelligence and digital technologies. • Become a subject matter expert on the application of AI in the transit bus space. • Participate in designing and executing data science pipelines including edge device management, data collection, exploratory data analysis, ground truth annotation, building machine/deep learning models and their deployment. • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy. • Participate in discussions and host information sharing sessions on latest trends in artificial intelligence and digital technologies as needed. Requirement: • Bachelor s in engineering, Physics, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience. • Minimum 2 years of hands-on experience in the fields of Artificial Intelligence/Machine Learning and video analytic edge computing. • Proficient in machine learning languages: python, GO, or similar languages for the development of AI models. • Proficient in embedded programming in C/C++. • Hands on experience with real time OS including Linux based systems, and low-level system and device configuration. • Proficient with standard computer vision tools such as Open CV, Deep Learning Frameworks (Keras, TensorFlow, PyTorch). • Proficient in software design principles. • Working knowledge with Docker and Kubernetes. • Working knowledge in Cloud, Cloud Native applications, and application platforms. • Working knowledge of inter-process communication strategies and protocols for real time systems (shared memory or pub-sub strategies). • Master s degree in engineering, Physics, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience • Experience with developing embedded software solutions for real time systems in the transportation or industrial applications. • Experience with developing deep learning models for computer vision applications such as object detection and segmentation. • Experience in AWS SageMaker, and other MLOPs tools and practises. • Experience with embedded edge devices such as NVIDIA Jetson boards. • Ability to work in a fast-paced environment with tight customer-focused product delivery schedules. • Strong interpersonal, leadership, communication, and presentation skills. • A critical thinker that can quickly understand a new problem space and apply analytic techniques to identify potential value. • Self-starter with the ability to work to set schedule and goals with minimum supervision. • Ability to engage and build positive relationships with both customers and internal and external employees. • Ability to work in a cross-functional, global environment. • Effective team building and problem-solving abilities.