Datature · 14 hours ago

Computer Vision Engineer, Integrations

United States

Full-time

Remote

Mid Level

3+ years exp

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Artificial Intelligence (AI)Computer Vision

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Responsibilities

Working directly with customers to integrate our MLOps Platform directly into their stack.

Ideate ways to optimize their computer vision implementation.

Expanding our neural network offerings, cutting-edge features, and model observability functions for our users.

Working on Datature’s Insights and MLOps offering to help users build better, fairer models.

Scouting and prototyping state-of-the-art vision algorithms and methods to provide our users and the team with potentially disruptive technologies that can be integrated into the Datature platform to improve user value.

Enjoy research, prototyping, and sharing new ideas based on real-user feedback and problems to work on a roadmap of ambitious features that we ship to our users in our quarterly platform updates.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Computer VisionDeep Learning AlgorithmsPyTorchKerasOpenCVFFMPEGGradioOpenVINOMXNetReal-time SystemsGoogle Cloud PlatformCloud GPU ResourcesCUDAMulti-GPUsJupyter NotebooksPrototypical NotebooksObject TrackingRe-identificationSegmentation

Required

3-5 years of experience researching, implementing, and deploying computer vision / deep-learning algorithms

Familiarity with methods used for object tracking, re-identification, and segmentation

Contribute to research, design, and implementation of state-of-the-art perception / vision algorithms, taking ideas from paper to integration with users and clients

Experience with stacks that include PyTorch, Keras, OpenCV, FFMPEG, Gradio, OpenVINO, MXNet

Possess some technical foundation in working with backend services, querying large amounts of data, and leveraging Google Cloud Platform / Cloud GPU Resources

Collaborate with key stakeholders and client teams to understand business requirements and objectives related to ML integration

Experience building, maintaining, and debugging real-time computer vision systems

Experience and passion in Deep-Learning Algorithms, serving APIs leveraging CUDA, Multi-GPUs, and Showcases with Gradio/Streamlit

Experience with computer vision research, prototypical notebooks for testing ideas, and implementing the latest research ideas swiftly