
Data-Driven Innovation Leader
4 days ago
Location: Gurugram, India
Experience: 6–10 Years
Industry: AI Product Development
Key Responsibilities:
- Lead the design and implementation of complex computer vision pipelines, focusing on object detection, instance segmentation, and industrial anomaly detection.
- Own major modules from concept to deployment, ensuring efficient execution with 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, promoting innovation and growth.
- Drive long-term data and model strategies, including synthetic data generation and validation frameworks.
- Mentor engineers and maintain high engineering standards, fostering a culture of excellence.
Required Skills & Qualifications:
- 6–10 years of experience in architecting and deploying CV systems, with expertise in multi-object tracking, object detection, and semi/unsupervised learning.
- Proficiency in programming languages like Python, PyTorch/TensorFlow, Modern C++, and CUDA.
- Experience with real-time, low-latency model deployment on edge devices, with strong systems-level design thinking across ML lifecycles.
- Familiarity with MLOps (CI/CD for models, versioning, experiment tracking), and 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, and open-source contributions.
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