Highlights
Develop advanced AI solutions, work on cutting-edge technologies, collaborate across multiple departments.
Description
Job Summary
pWe are seeking a Machine Learning Engineer to join our innovative team at Wabtec's Digital Advanced Technologies (DAT) division. The role involves developing and deploying advanced AI solutions in freight and passenger transportation, focusing on scalable machine learning and deep learning models for cloud and edge video analytics, robotics, and automation systems.
Responsibilities
- Design, analyze, and evaluate scalable AI solutions at Wabtec
- Collaborate with DAT ML engineers to build highly scalable AI solutions that drive business value
- Participate in data science pipelines including edge device management, data collection, and model deployment
- Develop computer vision solutions using machine/deep learning models
- Host webinars on the latest trends in artificial intelligence and digital technologies
Required Skills
- Python programming proficiency
- Experience with deep learning frameworks (TensorFlow, PyTorch)
- Data science pipeline design and execution
- Natural language processing expertise
- AWS deployment experience for ML/LLM workloads
Required Skills Explained
- Python proficiency and experience with pair programming tools like GitHub Copilot.
- Hands-on experience with deep learning frameworks such as OpenCV, TensorFlow, PyTorch, HuggingFace, and Langchain.
- Experience in software design principles and tools such as GitLab.
- Working knowledge of Natural Language Processing (NLP) and Large Language Models (LLM).
- Adequate experience with AWS model-oriented services for deploying and orchestrating ML/LLM workloads on Bedrock or SageMaker services.
Who is this for
pThis role suits candidates who are passionate about AI and digital solutions. Ideal applicants will have a strong background in engineering or computer science, coupled with hands-on experience in AI/ML projects.
Why This Job is a Good Opportunity
ulliOpportunity to contribute to groundbreaking advancements in the freight and passenger transportation industry using AI and machine learning solutions.liWorking with a diverse, global team of experts in various engineering disciplines, fostering a collaborative environment for innovation.liAccess to cutting-edge technology and resources within Wabtec's Digital Advanced Technologies (DAT) team.liPotential for career growth and expansion across multiple functional areas within the company.liA culture that values people and prioritizes continuous improvement, offering an enriching work experience.
Interview Preparation Tips
- Practice explaining complex technical concepts in simple terms to demonstrate your ability to communicate effectively.
- Familiarize yourself with Wabtec's mission and the impact they have on transportation sectors around the world.
- Prepare examples of how you've successfully implemented machine learning solutions or algorithms, highlighting scalability and real-world application.
- Be ready to discuss specific experiences working with edge devices such as NVIDIA Jetson boards and video analytics applications.
- Demonstrate your experience in data collection, exploratory data analysis, and model deployment through relevant projects or case studies.
Career Growth in This Role
pThe role of a Machine Learning Engineer at Wabtec offers significant opportunities for career growth. With the increasing demand for advanced AI solutions across various transportation sectors, there is a strong potential to advance into leadership positions within the company's digital technologies team. Additionally, the cross-functional nature of the job allows for exposure and expertise development in different engineering areas, such as freight and transit systems, which can lead to specialized roles or even venture into product management or business development.pFurthermore, Wabtec’s commitment to innovation and continuous improvement means that employees are encouraged to stay updated with the latest trends in AI and digital technologies. This creates a dynamic work environment where professionals can continuously enhance their skill sets and contribute to shaping the future of transportation solutions.
Explore More Opportunities
Skills
Frequently Asked Questions
What kind of projects will I work on?You'll develop scalable machine learning models, build computer vision applications, and design data science pipelines.
Do I need experience with natural language processing?While not required, experience in NLP is beneficial as it complements the work on AI solutions.
What kind of support will be provided for AWS deployment?You'll receive training and guidance from experienced team members to ensure smooth AWS deployment processes.
