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Computer Vision Engineer
PylonBangalore2 days ago
Job descriptionProficiency in Python and deep learning frameworks (PyTorch / Tensorflow). Good understanding of CNNs, transfer learning, data augmentation, and overfitting mitigation. Familiarity with basic software engineering practices (git, code reviews, unit testing). Mathematical Background : Solid grasp of linear algebra, probability, and optimization as applied in ML. Languages / Frameworks : Python, PyTorch, Tensorflow, TorchVision, FastAPI, OpenCV. Model Tools : ONNX, TensorRT, Albumentations. DevOps : Docker, Git, Azure / AWS. Infra : Jetson devices, cloud APIs, SQL / NoSQL databases.
Requirements :
- 5+ years of hands-on experience in a computer vision or deep learning role.
- Experience with industrial / safety inspection datasets (e. g., PPE detection, visual defect classification).
- Familiarity with MLOps tools like MLflow, DVC, or ClearML.
- Experience with model optimization and deployment frameworks (ONNX, TensorRT, OpenVINO).
- Exposure to real-time or edge inference performance constraints.
- Contributions to open-source, research publications, or competitive CV challenges (e. g., Kaggle).
Technical Qualification :
(ref : hirist.tech)
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Computer Vision Engineer • Bangalore