Computer Vision Engineer

Job Title : Sr. Computer Vision Engineer

Location : Bengaluru

Experience : 3–10 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 :

3–10 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.