Unlock your full potential as a Senior Computer Vision Engineer

4 days ago

Belgaum, Karnataka, India beBeeComputerVision Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Senior Computer Vision Engineer

This is a senior-level role where you will be leading the design and implementation of complex computer vision pipelines.

Key Responsibilities:
  • Owning major modules from concept to deployment, ensuring low latency and high reliability.
  • Transitioning algorithms from Python/PyTorch to optimized C++ edge GPU implementations using TensorRT, ONNX, and GStreamer.
  • Collaborating with cross-functional teams to refine technical strategies and roadmaps.
  • Driving long-term data and model strategies, including synthetic data generation and validation frameworks.
  • Mentoring engineers and maintaining 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.
About this Role

This is a challenging opportunity to work on complex computer vision projects and lead a team of engineers. The ideal candidate should have expertise in multi-object tracking, object detection, semi/unsupervised learning, and proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA.

You will be responsible for driving long-term data and model strategies, mentoring engineers, and maintaining high engineering standards. We are looking for someone who can own major modules from concept to deployment, transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations, and collaborate with cross-functional teams to refine technical strategies and roadmaps.

A Bachelor's/Master's degree in CS, EE, or related fields with strong ML and algorithmic foundations is required. If you have experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, and open-source contributions, that's a plus

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