Inactive
N

Norfolk Southern

Rail freight transportation across eastern U.S.

Technical Manager Agentic AI

Computer VisionPosted on Nov 11
Full-timeAtlanta, GA, USA$190k - $240k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related, relevant field is required; equivalent foreign degrees are accepted.
  • At least one year of experience as a Computer Scientist, Data Scientist, Research Scientist, or Machine Learning Scientist developing deep learning models is required.
  • At least one year of experience developing solutions in Python is required.
  • At least one year of experience using TensorFlow, Keras, and/or PyTorch is required.
  • At least one year of experience applying deep learning to image processing, including semantic segmentation, object detection, and classification, is required.
  • At least one year of experience working with camera technologies such as area scan and line scan cameras is required.
  • At least one year of experience using CNN architectures such as VGG16, ResNet, MobileNet, and YOLO is required.
  • At least one year of experience applying traditional image processing techniques using OpenCV and scikit-image is required.
  • Must be able to work weekends and be on call as necessary.

Responsibilities

  • Lead AI initiatives from problem formulation through productionization, including model design, deployment, governance, and performance monitoring.
  • Lead NSIQ initiatives from problem formulation through productionization, including governance, KPI design, model deployment, and ongoing performance monitoring, while ensuring alignment with business outcomes.
  • Provide consistent guidance to junior scientists, contribute to hiring and evaluation processes, and improve team capability through knowledge sharing and technical leadership.
  • Partner with business stakeholders and external vendors to define high-impact use cases, communicate results to senior leadership, and integrate AI solutions into production systems.
  • Serve as a leading expert in computer vision and applied AI by architecting novel solutions, including those using non-traditional datasets and approaches, and driving key models and capabilities.
  • Design, develop, and implement novel computer vision algorithms for unique use cases.
  • Design and build novel custom CNN architectures.
  • Evaluate the accuracy and quality of designed models and data sources.
  • Stay current with the latest models and changes in technology.
  • Design and develop production-ready code.
  • Communicate results and implications to colleagues and business partners.
  • Coordinate with application development teams to integrate developed models with existing applications.
  • Manage the complete model development lifecycle from requirements gathering through post-production support.
  • Communicate results to colleagues, business partners, and senior management.
  • Provide guidance to junior team members and oversee targeted research and team projects.
  • Lead hiring efforts and candidate evaluation.

About the Company

Norfolk Southern

Rail freight transportation across eastern U.S.

Norfolk Southern moves freight by rail across about 19,500 miles of track in 22 eastern states and the District of Columbia, carrying coal, automotive products, and other goods for manufacturers, energy producers, and retailers. Its service works by operating trains that connect eastern container ports and link with other rail carriers to enable intermodal shipments, charging customers based on haul distance, weight, commodity type, and demand. Compared with competitors, NS differentiates itself with a large eastern network, direct port access, and strong connections to other carriers, along with a diverse customer base concentrated in coal, automotive, and industrial shipments. Its goal is to provide reliable, efficient freight transportation and logistics that support customers' supply chains.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Norfolk, VA
Founded
1880

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