Remote Senior Computer Vision Engineer

at DevSavant Inc.

Posted 17 hours ago 0 applied

Description:

  • DevSavant is seeking a highly skilled Senior Computer Vision Engineer to join their team and drive the development of advanced vision systems across video-based applications.
  • The role involves working on cutting-edge technologies in pose estimation, object detection, and motion tracking, with a focus on optimizing deep learning models and deploying them at scale.
  • The ideal candidate will thrive in high-performance environments and contribute to real-world applications in sports, motion analysis, and other high-frame-rate video contexts.
  • Key responsibilities include building and optimizing pose estimation pipelines, implementing keypoint detection models, customizing and training YOLOv4/X for object detection, applying tracking techniques, analyzing temporal coherence in high-FPS sequences, implementing segmentation models, converting models for efficient deployment, managing full-frame inference for high-FPS video, deploying models in cloud environments, and developing evaluation pipelines for pose estimation and detection accuracy.

Requirements:

  • Candidates must have 5+ years of experience in computer vision and deep learning.
  • A strong track record of delivering production-ready vision pipelines is required.
  • The ability to work independently and in a cross-functional remote team is essential.
  • Experience in real-time or near-real-time video inference is a major plus.
  • Familiarity with the SportsTech industry or a related field involving human motion analysis is preferred.
  • Candidates should have expertise in Python, with optional knowledge of C++ and Bash scripting.
  • Proficiency in frameworks such as PyTorch, OpenCV, and ONNXRuntime is necessary, with TensorFlow being a reference only.
  • Experience with video tools like FFmpeg, MoviePy, and Decord is required, with bonus knowledge of NVIDIA DALI.
  • Knowledge of infrastructure tools such as Docker, REST APIs, and cloud deployment on AWS, GCP, or Azure is essential.
  • Familiarity with experiment tracking tools like W&B, MLflow, and TensorBoard is useful but not mandatory.
  • Strong communication skills for conveying technical concepts to clients and stakeholders are important.

Benefits:

  • Joining DevSavant means being part of a trusted technology partner that specializes in innovative, high-quality solutions.
  • Employees thrive in a supportive, success-driven environment that fosters growth and well-being.
  • The role offers the opportunity to work with bleeding-edge technologies and contribute to impactful real-world applications.
  • Employees can expect a culture that values excellence and results, enhancing their professional development.