Computer Vision Engineer, Mid

Key Role:

Process data and information at scale with machine learning technologies and develop production solutions for end users. Apply advanced consulting or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor or supervise team members, as needed.

Basic Qualifications:

  • 3+ years of experience with machine learning, data or engineering research, or computer vision in a professional or academic environment

  • Experience with frequent scripting language use, including Python, R, and packages used in machine learning applications or advanced data analytics

  • Experience with performing data exploration and data analysis on multiple data types, including images, video, and text

  • Experience with fine-tuning and transfer learning computer vision models for image classification and object detection

  • Knowledge of computer vision image pre-processing and synthetic data techniques

  • Ability to thrive while working independently to achieve successful results with minimal guidance

  • Ability to articulate workflows and explain technical concepts to non-technical audiences

  • Ability to obtain a security clearance

  • BA or BS degree

Preferred Qualifications:

  • Experience with operational machine learning applications

  • Experience with deep learning frameworks, including PyTorch, Tensorflow, MXNet, or ONNX

  • Experience with managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications

  • Experience working in transportation or global supply chain domain

  • Ability to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations

  • Knowledge of CNN architectures and implementations, including ResNet and YOLO

  • Top Secret clearance

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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