Senior-Software/Staff Engineer – Computer Vision
Karnataka, Bengaluru Trifecta Adatto, 7th Floor, India
Who we want:
Experienced and motivated professional who is talented to lead on the technical front, take challenges and work with globally distributed teams to develop state of the art computer vision solutions for medical products.
What you will do:
- Requirement gathering, Designing, Implementation and Documentation
- Leverage new technologies to excel product offering and performance
- Work with all the stakeholders to ensure timely deliveries of the tasks
- Compliance to Quality Management System and Design Controls
Preferred Qualifications (Strongly desired):
Essential
- 6 to 8 years of research experience in developing best in class computer vision and/or video analytics solutions
- Broad understanding of state-of-art deep learning architectures for computer vision tasks (segmentation/object detection/tracking/3D Vision/VSLAM)
- Proficiency in Python programming. Strong expertise in PyTorch – Core/Tools
- Experience with model optimization (quantization/distillation/pruning)
- Experience in debugging Numpy+PyTorch model export to ONNX/TRT format
- Excellent written and oral English communication skills
- Experience in working with distributed teams across geographies in agile setup
- Self-learner and the ability to work hands-on with minimal supervision or assistance
Good to Have
- Track record of innovation in deep-learning (open-source projects and/or publications)
- Experience in C++ development, Visual Studio and Linux/Windows build systems
- Experience working in healthcare industry on Medical Imaging
Education:
- Bachelors or Master degree in computer science, computer engineering or a related science or engineering discipline is required.
- A relevant PhD or equivalent experience would be favored.
Experience: 4-8 years
Travel Percentage: 10%* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Computer Science Computer Vision Deep Learning Engineering Excel Linux NumPy ONNX Open Source PhD Python PyTorch Research
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