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 :
3–10 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.