6.0 - 10.0 years

0 Lacs

haryana

On-site

As a Senior CV Engineer at our esteemed client, a Series-A funded deep-tech company in Gurugram specializing in AI Product industry, you will be responsible for leading the design and implementation of complex CV pipelines including object detection, instance segmentation, and industrial anomaly detection. Your role will involve owning major modules from concept to deployment to ensure low latency and high reliability of the system. You will be expected to transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using technologies like TensorRT, ONNX, and GStreamer. Collaboration with cross-functional teams to refine technical strategies and roadmaps will be a key part of your responsibilities. Additionally, you will drive long-term data and model strategies such as synthetic data generation and validation frameworks. Mentoring engineers and upholding high engineering standards will also be a crucial aspect of this role. To be successful in this position, you should have a minimum of 6-10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, and semi/unsupervised learning is essential. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA, and experience with real-time, low-latency model deployment on edge devices are required skills. Strong systems-level design thinking across ML lifecycles and familiarity with MLOps (CI/CD for models, versioning, experiment tracking) are also expected. A Bachelors/Masters degree in CS, EE, or related fields with strong ML and algorithmic foundations is necessary for this role. Preferred qualifications include experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, and open-source contributions. If you are passionate about cutting-edge technology and have a drive for innovation, this position offers an exciting opportunity to work on a first-of-its-kind app-based operating system for Computer Vision.,

Posted 3 days ago

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