Job Title: Sr. Computer Vision Engineer
Location: Gurugram
Experience: 610 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:
- 610 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.
