Senior Computer Vision / Deep Learning Engineer

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.