Wabtec Corporation - Data Science Engineer - Deep Learning/Machine Learning

Description :

Who are we ?

Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.

Wabtec is focused on performance that drives progress and unlocks our customers potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more!.

About Us :

- 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.

Qualifications :

Qualification / Requirement :

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The individual must meet the criteria listed below :

- Bachelors in engineering, Physics, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience.

- Minimum 5 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).

Desired Characteristics :

- Masters 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.