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▷ Apply Now! Computer Vision Engineer
PVAR SERVICESIndia13 hours ago
Job description3–10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, semi / unsupervised learning. Proficiency in Python, PyTorch / TensorFlow, Modern C++, CUDA. Experience with real-time, low-latency model deployment on edge devices. Strong systems-level design thinking across ML lifecycles. Familiarity with MLOps (CI / CD for models, versioning, experiment tracking). Bachelor’s / Master’s degree in CS, EE, or related fields with strong ML and algorithmic foundations. (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs / VLMs, open-source contributions.
Job Title : Sr. Computer Vision Engineer
Location : Bengaluru
Experience : 3–10 Years
Industry : AI Product
Key Responsibilities :
- Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection).
- Own major modules from concept to deployment ensuring low latency and high reliability.
- Transition algorithms from Python / PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
- Collaborate with cross-functional teams to refine technical strategies and roadmaps.
- Drive long-term data and model strategies (synthetic data generation, validation frameworks).
- Mentor engineers and maintain high engineering standards.
Required Skills & Qualifications :
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Computer Vision Engineer • India
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