DevJobs

Senior Computer Vision / Deep Learning Engineer

Overview
Skills
  • Python Python
  • PyTorch PyTorch
  • TensorFlow TensorFlow
  • AWS SageMaker
  • OpenCV
  • Google Vertex AI

Agado Live, a fast-growing startup at the forefront of digital health innovation, is looking for a Senior Computer Vision / Deep Learning Engineer to take on a key role in a high-impact product shaping the future of physical therapy and neurological care. This is a unique opportunity to work on groundbreaking DL/Computer Vision technologies and develop custom Large Language Models (LLMs) in a field with real-world significance.

What You'll Do:

  • Lead and contribute to the development of novel AI/ML solutions, including custom LLMs tailored to healthcare-specific applications.
  • Develop and deploy production-grade deep learning pipelines for pose estimation, emotion recognition, and 3D reconstruction.
  • Tackle unexplored challenges across computer vision, natural language processing, and multi-modal AI domains.
  • Collaborate closely with cross-functional teams to design a product that transforms therapy delivery and patient outcomes.

What We’re Looking For:

  • Passion to build and drive to meet ambitious goals and timelines.
  • Leadership skills and a desire to grow into a tech leadership or team lead role.
  • Strong background in computer vision, with hands-on experience in:
  • Image acquisition, preprocessing, classification & extraction
  • Object detection & recognition
  • 3D reconstruction and mesh/point cloud processing
  • Pose estimation and emotion analysis
  • Solid understanding of deep learning architectures:
  • CNNs, RNNs, Transformers, etc.
  • Experience with supervised/unsupervised learning
  • Experience developing, optimizing and fine-tuning custom DL/LLMs.
  • Proficiency in Python and deep learning frameworks: PyTorch, TensorFlow, etc.
  • Familiarity with computer vision tools and libraries like OpenCV.
  • Experience with cloud-based ML platforms (AWS SageMaker, Google Vertex AI).
  • Experience with containerized workloads is a strong advantage.

Who You Are:

  • A problem-solver and self-learner who thrives in ambiguity.
  • Excited by the idea of building something new, fast, and with lasting impact.
  • Strong communicator, fluent in English (written and spoken).
  • Eager to work alongside an elite team of engineers and researchers.


Agado Live