Job Description
Good experience working on Python, C/C++. Candidate should have worked on frameworks like PyTorch, Tensorflow, OpenCV, NumPy, pandas, scikit-learn, Git, TI TDAxx, Qualcomm SNPE, QNN (Qualcomm Neural Network
Main Responsibilities
- As an AI Algortihm developer specializing in Deep Learning techniques, you will design and development of custom, low-footprint deep learning models tailored to specific ADAS use cases
- The ideal candidate will have hands on experience building scalable, efficient, and cost-effective AI solutions, particularly with custom deep learning models, and will play a key role in porting and optimizing these applications on to the edge devices such as TI TDA4x
Education & Experience
Knowledge & Skills
- Python, C++, Deep learning, AI/ML,
Additional Skills
- Experience with image classification, object detection, and segmentation algorithms
- Familiarity with model optimization techniques and the ability to tune hyperparameters for better model performance
Competencies
- Should be good in problem solving and should have high analytical skills