Senior Computer Vision Engineer - Python/Tensorflow

<p><p><b>Job Title : Sr. Computer Vision Engineer</b><br/><br/>Location : Gurugram<br/><br/>Experience : 6 to 10 Years<br/><br/>Industry : AI Product<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Lead design and implementation of complex CV pipelines (object detection, instance segmentation, industrial anomaly detection).</p><p><br/></p><p>- Own major modules from concept to deployment ensuring low latency and high reliability.<br/><br/></p><p>- Transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.<br/><br/></p><p>- Collaborate with cross-functional teams to refine technical strategies and roadmaps.<br/><br/></p><p>- Drive long-term data and model strategies (synthetic data generation, validation frameworks).<br/><br/></p><p>- Mentor engineers and maintain high engineering standards.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/></p><p>- 6 to 10 years of experience in architecting and deploying CV systems.<br/><br/></p><p>- Expertise in multi-object tracking, object detection, semi/unsupervised learning.<br/><br/></p><p>- Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.<br/><br/></p><p>- Experience with real-time, low-latency model deployment on edge devices.<br/><br/></p><p>- Strong systems-level design thinking across ML lifecycles.<br/><br/></p><p>- Familiarity with MLOps (CI/CD for models, versioning, experiment tracking).<br/><br/></p><p>- Bachelors/Masters degree in CS, EE, or related fields with strong ML and algorithmic foundations.<br/><br/></p><p>- (Preferred) Experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, open-source contributions.<br/><br/></p><br/></p> (ref:hirist.tech)