Wabtec Reviews by Employees

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Description : Its not just about your career or job title Its about who you are and the impact you will make on the world. Because whether its for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, youre in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. 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. Company Job Title : Platform Engineering Architect. Location : Bengaluru, KA. Summary : In this role, you will play a key leader in our Wabtec One Platform Engineering ecosystem by providing technical leadership and hands on expertise across Platform Engineering practices including DevOps principles, Kubernetes, Docker, SDLC, CI/CD, cloud platforms, microservice architecture, monitoring, and observability. You will help define and implement best practices that guide product teams, establishing patterns and standards that elevate our overall Platform Engineering maturity. Your contributions will directly influence the Platform Engineering strategy for Wabtec and accelerate the delivery of reliable, scalable, and secure solutions across the business. Duties And Responsibilities : - Provide architectural guidance and leadership to enhance tooling for continuous build, automated testing, and release management. - Architect, design, and oversee implementation of Kubernetes based workloads at scale. - Apply deep knowledge of cloud tooling and cloud native best practices (AWS preferred) to guide solution decisions. - Design technology solutions that are platform agnostic, reusable, and scalable to enterprise wide adoption across multiple application teams. - Communicate complex technical concepts effectively at scale and present architectural recommendations to diverse technical audiences. - Make strategic technology decisions at the product and platform level and evaluate their enterprise wide impact. - Analyze and optimize build processes and pipelines through architectural improvements. - Champion automation initiatives to reduce operational toil and enhance engineering efficiency. - Lead the implementation and governance of Continuous Integration and Continuous Deployment principles. - Provide architectural oversight in quality engineering, test planning, and testing methodology for software delivery. - Apply expert knowledge of SDLC and agile methodologies to ensure consistent and predictable delivery outcomes. - Develop and maintain enterprise documentation supporting build processes and environment configurations. - Demonstrate knowledge of AI workflows and the architectural considerations required to support AI driven and agentic systems. Supervisory Responsibilities : - Participate in hiring and recruitment efforts, including interviews for employees in the Wabtec One Platform Engineering department. - Provide technical leadership on best practice implementation and ensuring consistency in DevOps methodology. - Other duties as assigned. Minimum Qualifications : (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Degree Requirements : Bachelors Degree. Professional Technical Experience : 7+ Years. Linux Experience : 6+ Years. CI/CD Experience : 4+ Years. Docker Experience : 5+ Years. Kubernetes Experience : 5+ Years. Python, Shell, or Bash Scripting Experience : 5+ Years. Knowledge, Skills And Abilities : - Experience designing, creating, and maintaining automated build and configuration management tooling (Ansible, Helm, Kustomize, Terraform, or GitLab preferred). - Deep expertise in the full container lifecycle -from Dockerfile best practices to Kubernetes execution models. - Strong communication skills with the ability to deliver architectural guidance and educate internal teams on emerging technologies. - Ability to propose strategic CI/CD improvements based on research, industry trends, and best practice synthesis. - Demonstrates strong judgment in evaluating modern tools and integrating them into product teams based on business value. - Understands TCO and value drivers associated with platform and tooling decisions, ensuring cost efficient architecture. - Influences through collaboration and builds organizational alignment for new or evolving processes. - Leverages institutional knowledge to prevent rework and drive consistent architectural outcomes. - Continuously evaluates successes and failures to inform future architectural decisions and improve performance. - Capable of mentoring and guiding others in critical thinking and architectural decision making. - Demonstrates ongoing commitment to deepening technical expertise and adopting emerging technologies. - Proactively engages with cross functional teams to resolve complex issues and design scalable, standards based solutions. - Actively learns new methodologies and tools to anticipate and mitigate delivery challenges across product teams.

Bangalore

Wabtec Corporation - Platform Engineering Architect 

Description : Summary : The Senior ML Engineer, working as part of Wabtecs Digital Advanced Technologies (DAT) team will be responsible for architecting and deploying new advanced AI computer vision solutions throughout the freight and passenger transportation industry. DAT is a cross-disciplined entrepreneurial group that carries out applied research in AI/ML, designs and deploys cutting edge algorithms and new digital solutions throughout the Wabtec portfolio of businesses. The candidate will work closely with DATs ML engineers and Wabtecs cloud architects to deploy scalable machine learning and deep learning solutions in cloud and edge video analytics, robotics and automation systems. Experience & Qualifications : - Masters in engineering, Physics, Chemistry, Mathematics, Robotics or Computer Science from an accredited university or college, or relevant and significant industry experience. - Experience in the fields of AI/ML product development, generative AI, MLOps, edge computing. - Experience and proficiency in writing production worthy code python, GO or similar languages. - Proficient with deep learning frameworks (Open CV, TensorFlow, PyTorch, HuggingFace, Langchain). - A minimum of 4 years of experience as a data scientist, machine learning or computer vision engineer. - Hands on experience with LLM architectures, fine-tuning LLMs, RAG based applications, vector databases. - Exposure to AWS model oriented services deploying and orchestrating ML/LLM workloads on Bedrock or Sagemaker services. - Has had experience in deploying scalable AI solutions that solve industry problems. - Strong interpersonal, leadership and communication skills. - A critical thinker that can quickly understand a new problem space and apply analytic techniques to identify potential value. - Demonstrated thought leader with an interest in working on Digital Industrial transformation. - Demonstrated change agent with strong credibility and ability to influence across the organization. - Demonstrated engineering thought leader with experience developing and executing engineering solutions for businesses to gain efficiency. - Demonstrated commitment for process improvement. - Experience with product management. - Strong command & working knowledge of engineering workflow processes. Responsibilities : - Help set and execute the vision for scalable AI solutions at Wabtec and drive a culture of applied innovation. - Work closely with the DAT ML engineers to build and deploy highly scalable AI solutions that drive business value for our business units and customers. - Set the architecture and framework for scalable video analytic solutions (edge and cloud) that can be leveraged throughout different parts of the business. - Partner with the head of DAT and business development teams to engage directly with business units and external customers to understand pain-points. - Be a machine learning cross-functional leader with organizations such as, Freight Engineering, Services, Transit Engineering, Digital Electronics, Freight Components, Mining and Marine operations to drive new computer vision solutions and opportunities. - Lead education and awareness of deploying AI solutions throughout Wabtec to build the pipeline for advanced data scientists within the organization. - Be involved in external collaboration efforts with startups, incubators and universities to grow Wabtecs AI skill base and resource arm. - Act as coach for others in driving digital industrial solutions across all functional engineering areas. - You may also be asked to perform other duties outside of your function or trade, for which adequate training will be provided if necessary.

Wabtec Corporation - Senior Machine Learning Engineer - LLM/RAG 

Description : Its not just about your career or job title. Its about who you are and the impact you will make on the world. Because whether its for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, youre in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. 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 : To strengthen our WITEC team in Bengaluru, we are now looking for - Advanced Lead Engineer Data Science. Role Summary & Essential responsibilities : This role is for an experienced software engineer that can diligently apply both data science and embedded software engineering principles to develop products that meet customers needs. The engineer is expected to be passionate about executing in a fast-paced developmental environment to deliver successfully on tight customer-focused schedules. Essential Duties And Responsibilities : - 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. 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. Education/Experience : 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.

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

Description : Its not just about your career or job title Its about who you are and the impact you will make on the world. Because whether its for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, youre in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us. 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!. Summary : Reporting to Director AI & Data Architecture, the Manager Advanced Analytics & AI role is to plan, coordinate, and manage activities related to Advanced Analytics product development, AI Solutions and Data Science end to end deliveries. This manager is responsible for driving activities including development, delivery plan, driving development in Agile manner, coordinating with business product owners and career growth for our Scrum teams/TPM and coordinating the requirement gathering with our Technical Product Managers. He/She will partner with other D&A and IT teams, implementing the Data governance framework and new operating model in order to make sure we apply the right processes. He/She will be responsible for delivering what has been identified in the Data & Analytics 3-year strategy and propose enhancement / solutions when needed. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role. Duties And Responsibilities : - Advanced Analytics & AI Strategy and Blueprint creation, update and implementation. - Support of Business for Data Owner/Steward identification. - Lead cross-functional teams and provide business / functional perspective to data science projects, and support problem scoping and structuring. - Lead program management, including operationalization of analytic methods and products in functional settings, and drive agile development of new methods and capabilities. - Ensure development of value case for each project in partnership with business stakeholders clearly specifying hard and soft benefits. - Monitor, track and report out the business value / benefits delivered for all the data projects in terms of revenue or profitability uplift, cost savings or working capital optimized for hard benefits and productivity gains for soft benefits. - Ensure customer adoption & drive consumption of analytics and maximize usage and use of analytics with customers. - Maintain strong partnership with business leaders, stakeholders, users and partners to integrate programs into overall strategic objectives. - Contribute to budget preparation for the reporting team and drive budget adherence. - Conduct project reviews, feasibility, prioritization, initiation, execution, user acceptance, operationalization for all project work related to the data science program(s). - Partner with shared technical and business resources (GRC, IT teams, Engineering, Product Management, Software CoE etc.) to effectively deliver and support solutions. - Effectively communicate (i.e. status, issues, and escalations) to leadership and other various levels of the organization. - Partner with Data teams, other IT teams and Business stakeholders to identify opportunities and implement the right Adv Analytics solution. - Partnering with Data governance leader to make sure our Data governance Framework is implemented effectively (Cyber security, SOP, Data quality, Data ownership/Stewardship, communication, ). - Supports Organization to hold its employees accountable. - Enforce transparency with internal and external stakeholders : communication. - This role requires strong leaders and effective management skillset, supporting the team to grow and develop new skills and career growth. - Monitoring and reviewing the work of staff members, including conducting annual performance reviews. - Participate in hiring and recruitment efforts, including interviews for employees. - Ensuring staff compliance with Data governance processes and company policies. Minimum Qualifications : (To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. - Bachelors degree in information systems, Information Technology (IT), Computer Science, or Engineering from an accredited college or university. - Overall 14+ Years of Professional experience in Information Technology including 8+ years direct experience in data management and/or data Analytics role. - Strong project management skillset. - Experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping. Knowledge, Skills And Abilities : - Minimum of 14 years of professional experience in Data Analytics, Big Data, Data Science or Information Technology. - Passionate about driving changes and influence across enterprises. - Capabilities to identify and Apply IT process standardization, to improve robustness and simplify the product maintenance. - Willing to understand, asking questions, deep dive answers. - Global exposure driving benefits across multiple regions and stakeholders. - Ability to work with cross-functional teams to drive operationalization of analytic products and help teams to transform processes through analytics. - Strong ability to communicate deep analytical results in forms that resonate with the business collaborators, highlighting actionable insights. - Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business/scientific problems across the company. - Ability to acquire any specialized domain knowledge required to be more effective in all required activities. - Best practice definition, rigor. - Strategic and creative thinking. - Ability to operate in a fast-paced environment with a sense of urgency, ownership, and accountability. - Adaptable/Flexible : being open to change in response to new information, different or unexpected circumstances, and having the ability to navigate ambiguous situations. - Ability to convince and to find a consensus. - Effectiveness and Efficiency, and Accountability. - Persuasiveness / diplomacy / ability to convince without authority. - Excellent oral and written communication skills in English. - High energy, Customer Passion & attention to details. Physical Demands : (The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. - Participation and animation of numerous meetings. - Need to talk, listen and summarize. - To be present in office 3 days a week (Tuesday to Thursday). Our Commitment To Embrace Diversity : Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated. To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the worlds brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better. We believe in hiring talented people of varied backgrounds, experiences, and styles People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Wabtec Corporation - Manager - Advanced Analytics 

Description : Who will you be working with ? You will work closely with ServiceNow developers, business analysts, and stakeholders to design and optimize self-service portals and service catalogs. This role collaborates with IT, HR, and business teams to ensure seamless user experience and alignment with enterprise standards. How will you make a difference ? As a User Experience Specialist ServiceNow, you will combine user-centered design principles with technical knowledge of ServiceNow to deliver intuitive, engaging, and efficient digital experiences for employees. You will lead portal design, usability testing, and iterative improvements to enhance self-service capabilities. Key Responsibilities : - Conduct user interviews, usability testing, and feedback sessions to understand pain points and validate design decisions. - Create and enhance self-service portals ensuring accessibility, responsiveness, and alignment with brand guidelines. - Redesign and structure service catalogs to improve discoverability and efficiency. - Develop wireframes, mockups, and interactive prototypes using industry-standard tools. - Work closely with ServiceNow developers and stakeholders to translate business requirements into intuitive designs. - Ensure compliance with accessibility standards and best practices for enterprise UX. - Monitor portal performance and user satisfaction, implementing iterative improvements based on analytics and feedback. What do we want to know about you? : Required : - Bachelors degree in User Experience Design, Human-Computer Interaction, Computer Science, or related field. - 3+ years of experience in UX design with a focus on enterprise platforms. - Hands-on experience with ServiceNow Self-Service Portal and Service Catalog configuration. - Familiarity with ServiceNow widgets, theming, and portal configuration. - Proficiency in design tools and basic understanding of HTML/CSS. - Excellent problem-solving and communication skills; ability to work cross-functionally. Preferred : - Masters degree in UX Design or related discipline. - Certifications in ServiceNow or UX design. - Experience with accessibility compliance and enterprise UX best practices. What will your typical day look like? Design and optimize ServiceNow portals and catalogs, conduct usability testing, collaborate with developers and stakeholders, and monitor performance metrics to ensure continuous improvement. Work Environment : Work is predominately performed in an office environment and requires the ability to operate standard office equipment. Ability to be in a seated position for long periods of time.

Wabtec Corporation - User Experience Specialist - Human Computer Interaction 

Description : Position Overview : We are seeking a Staff-level MLOps Engineer to architect, build, and operationalize the deep learning platform for large-scale computer vision systems. This role is ideal for someone who can work independently, define technical direction, and build end-to-end ML pipelines from the ground up. You will be responsible for the full lifecycle of ML systems data ingestion, training, deployment, monitoring, observability, and ongoing operations while collaborating closely with deep learning researchers, software engineers, and product teams. This Staff engineer will act as a technical authority, mentor other engineers, and establish engineering excellence across the org. Remote Visual Inspection (RVI) systems enable high-precision, non-contact inspection of critical industrial components using advanced imaging, optics, and AI-driven analytics. In this role, you will help shape the next generation of intelligent inspection capabilities by architecting the machine learning platform that powers automated defect detection and measurement in challenging environments. You will build the end-to-end infrastructure that enables large-scale ingestion, training, deployment, and monitoring of computer vision models used in high-speed visual inspection workflows. This position combines deep expertise in MLOps, cloud platforms, and computer vision systems to ensure that inspection models are reliable, scalable, and continuously improving ultimately enabling accurate, real-time evaluation of assets using cutting-edge camera and sensor technologies. Responsibilities : MLOps Platform Ownership (Staff-level) : - Define and own the overall MLOps architecture for deep learning systems across the organization. - Design and implement end-to-end ML pipelines for data ingestion, training, validation, deployment, and monitoring. - Build and maintain CI/CD pipelines for automated model training, evaluation, and deployment. - Establish model serving infrastructure, including scalable and reliable real-time or batch inference pipelines. - Implement model monitoring, data drift detection, performance observability, and alerting frameworks. - Ensure reliability, scalability, and reproducibility of ML workflows and experiments. - Manage model versioning, artifact storage, and experiment tracking (MLflow, Kubeflow, TFX, etc. - Define and enforce ML specific CI/CD standards and operational best practices. Data Engineering for ML : - Design and maintain a data aggregation and data ingestion solution for large-scale vision datasets. - Build data pipelines, feature stores, and dataset validation frameworks. - Contribute to the development and improvement of the computer vision data lake and storage systems. Computer Vision Deep Learning : - Design, develop, and optimize CV models for detection, segmentation, classification, and tracking. - Collaborate with algorithm and deep learning teams to transition RD models into production-grade pipelines. Cloud Infrastructure : - Work with cloud platforms (AWS, GCP, or Azure) to deploy scalable ML systems. - Build training and inference solutions using Azure ML / AWS SageMaker / GCP Vertex AI. - Implement containerized ML services using Docker and Kubernetes. Cross-Team Collaboration Leadership : - Mentor junior engineers and guide teams as the technical authority for MLOps and ML lifecycle management. - Collaborate closely with algorithm developers, CV engineers, data engineers, and platform teams. - Champion engineering excellence, reliability, and automation. Requirements : Core Technical Skills : - Bachelors/Masters degree in Computer Science, Engineering, or related field. - 7+ years of experience in MLOps, Computer Vision, and Python (staff-level contribution expected). - Strong understanding of ML workflow orchestration, lifecycle management, and platform design. - Advanced Python skills and or proficiency in C++ Deep Learning CV : - Hands-on experience with PyTorch, TensorFlow, scikit-learn. - Strong experience in building and deploying production CV systems. MLOps Data : - Experience with MLflow, Kubeflow, TFX, DAG-based workflow engines (Airflow, Prefect, etc. - Experience designing data ingestion pipelines, dataset management systems, and feature stores. - Familiarity with vector DBs, search-and-retrieval systems, and document stores. Cloud Deployment : - Hands-on experience with Azure ML, AWS SageMaker, or equivalent production ML platforms. - Strong understanding of Docker, Kubernetes, GitLab CI/GitHub Actions. Soft Skills : - Demonstrated technical leadership on complex ML systems. - Excellent problem-solving, communication, and collaboration skills. - Ability to operate independently and drive architectural decisions. Education : - UG : Bachelor of Technology / Bachelor of Engineering (B.Tech/B.) in Any Specialization - PG : Any Postgraduate

Wabtec Corporation - MLOps Engineer 

Role Summary & Essential responsibilities : This role is for an experienced software engineer that can diligently apply both data science and embedded software engineering principles to develop products that meet customers needs. The engineer is expected to be passionate about executing in a fast-paced developmental environment to deliver successfully on tight customer-focused schedules. Essential Duties and Responsibilities : - 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. Qualification / Requirement : Qualifications : - 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. Education/Experience : 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 6+ 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. Language Ability : This individual must be a crisp and clear communicator. As a Lead engineer this individual is a representative of the company and must be capable of direct correspondence with external parties like vendors, bus manufacturers, transit agencies, etc. via remote means (phone calls, instant messaging, teleconference) as well as face-to-face meetings if required. - Ability to respond to common inquiries or complaints from customers, regulatory agencies, etc. is expected. - Ability to write technical documentation for publication within and outside the organization that conform to prescribed style and format. Computer Skills : - To perform this job successfully, the individual should have experience with common software development tools (IDEs, software change management tools). - Individuals must have a knowledge of Microsoft Office Suite or equivalent of the following tools : Word, Excel, PowerPoint, Outlook.

Wabtec Corporation - Data Science Engineer - Python 

Description : As a Staff Software Engineer on the Wabtec IT Data Analytics (DnA) Team, you'll serve as a key member of the Advanced Analytics AI Development team. Youll partner with data engineers, AI specialists, and business stakeholders to deliver production-grade Full-Stack and GenAI capabilities that solve complex data problems across business units. How will you make a difference : You will own architecture and delivery of scalable services and AI-powered features, set engineering standards, mentor engineers, and ensure our systems meet availability, latency, cost, and security goals. As a Staff Software Engineer within the Wabtec IT Data Analytics (DnA) Team, you will be responsible for : - Architecture ownership : Define and communicate architecture for event-driven, microservice, and full-stack systems; write ADRs and guide domain boundaries. - GenAI in production : Design and ship LLM-powered services (prompt pipelines, RAG, evaluation, guardrails) with strong observability and cost controls. - End-to-end delivery : Build secure APIs (FastAPI/Node/NestJS), data contracts, and React front-ends; ensure robust CI/CD, testing, and rollout plans. - Security by design : Threat modeling, secure secrets, authN/Z (OAuth/JWT), and audit logging; drive remediation at scale. - Technical leadership : Mentor engineers, lead design reviews, raise the bar on coding standards and documentation quality. - Cross-team influence : Align roadmaps, articulate trade-offs to leaders, and drive platform standards across DnA and partner teams. - Continuous improvement : Promote a learning culture, run blameless postmortems, and improve developer experience. What do we want to know about you : You must have : The minimum qualifications for this role include : - Minimum of Bachelor's degree in IT, Computer Science or Engineering from an accredited university or college - 10+ years in software engineering, with 3+ years leading design/architecture and mentoring. - Strong in Python and TypeScript/JavaScript; fluent with SQL. - Front-end experience with Angular, React (or equivalent modern framework). - Back-end experience with FastAPI and/or Node/NestJS; designing REST APIs and background workers/queues. - Cloud data : AWS (S3, RDS), CI/CD (GitLab or equivalent), containers (Docker, Kubernetes basics), observability/logging. - GenAI : Building LLM-powered features (orchestration, prompt design, evaluation), retrieval/RAG with vector search; implementing guardrails and telemetry. - Security : Practical experience with secure-by-design patterns and compliance-aware development. - Communication : Able to influence across teams and translate complex concepts for diverse stakeholders. We would love it if you had : - Proven track record shipping complex production applications that incorporate LLMs or AI services at enterprise scale - Experience with Redis, job queues/workers; performance tuning and cost optimization for AI workloads. - Vector search (e., pgvector, Pinecone/Weaviate), embeddings, and evaluation frameworks; LangChain/LlamaIndex familiarity. - Kubernetes (deployments, autoscaling), IaC (Terraform/CDK), and multi-service observability (tracing/metrics/logs). - Prior ownership of features used by large internal/external user bases and documented reliability outcomes. - Masters in CS/AI/ML or equivalent industry experience What will your typical day look like : - Collaborate with AI, data, and app engineering in stand-ups and design sessions; remove blockers and align delivery with business priorities. - Write clean, testable code; review PRs; harden services with telemetry, alerts, and playbooks. - Run experiments and evaluations for AI features; measure quality, latency, and cost; iterate based on data. - Mentor engineers; raise engineering quality via examples, docs, and technical talks.

Wabtec Corporation - Staff Software Engineer - Full Stack Development 

How will you make a difference ? As a Technical Project Manager, you will need to demonstrate your ability to successfully complete complex projects on time, within scope and budget. You will be able to bridge the gap between technical and business requirements to create concrete strategies that generate value and efficiency. You will be an expert in process optimization, implementing best practices, and leveraging technology to accelerate project delivery and reduce costs. You will demonstrate strong leadership to foster collaboration among multidisciplinary teams, ensuring clarity and accountability. Proactive in risk management, you will commit to a continuous improvement approach to optimize project performance and stakeholder satisfaction. What do we want to know about you ? - Master's degree (or equivalent) in IT Project Management - Minimum 2-3 years of experience in Project Management - Proven track record in managing IT projects, with strong command of project management methodologies and process modeling techniques. - Proven experience in Technical Project Management, with exposure to Product Lifecycle Management (PLM) considered an asset. - Skilled in both functional and technical aspects of information systems. - Strong communication and stakeholder engagement skills; adept at needs analysis, formalization, and synthesis. - Service-oriented and pedagogical approach to team collaboration and knowledge sharing. - Dynamic, curious, proactive, and highly organized; able to work independently with rigor and autonomy. - Able to manage project Planning & Scheduling (Waterfall, Agile, Hybrid) - Able to manage risk Management & Mitigation - Able to manage Budget & Cost Control - Able to manage resource Allocation & Capacity Planning - Work under reduced supervision - Able to work well with global teams, including time-zone flexibility - Ability to review and challenge technical documentation including diagrams and documentation. - Must be willing to travel to customer site as required 15% or less. What will your typical day look like? - Prepare Project Plan and track the tasks as per project plan - Define and prioritize project scope & specification for deliverables with functionals - Resource allocation and RACI matrix - Ensure Quality and on time delivery of the deliverables. - Co-ordinate and manage the QA team SIT and Regression testing - Partner with Functional Team for the UAT - Release and Change Management - Partner with Operations and Support team on Production issues and root cause analysis. - Stakeholder Management, manage expectations & conflicts (Functional, Operations) - Drive Technical impact analysis, Design Document and deliver these documents as part of the release. - Drive daily meetings and publish updates, project communication plan (meeting, updates, steerco meeting.) - Weekly meetings with stakeholders and publishing updates - Maintain Defect tracker and Risk tracker. Risk Management and Risk Mitigation and action plans - Manage project budget and track expenses (actuals v/s forecast) - Partner with PMO - Incident and Change Management process - Vendor Partner Management

Wabtec Corporation - Technical Project Manager 

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