Computer Vision Engineer

Job Title: Sr. Computer Vision Engineer

Location: Gurugram

Experience: 6–10 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:

• 6–10 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.