- Design develop and deploy machine learning models for realworld applications.
- Work with frameworks such as PyTorch and TensorFlow to build deep learning models and computer vision systems.
- Optimize ML models for performance including working with **GPUs** to accelerate training and inference.
- Implement stateoftheart techniques in computer vision face recognition and related AI tasks.
- Collaborate with a crossfunctional team to integrate AI/ML solutions into larger systems.
- Continuously stay updated with new tools libraries and techniques in the AI/ML space.
Requirements
- 4 years of professional experience in Machine Learning and Artificial Intelligence.
- Strong proficiency in Python programming and its libraries for ML and AI.
- Handson experience with ML/AI frameworks like PyTorch Facenet OpenCV and other relevant libraries.
- Proven ability to work with GPU acceleration for deep learning model development and optimization.
- Strong understanding of neural networks computer vision and other AI technologies.
- Solid problemsolving skills and the ability to translate business requirements into ML/AI solutions.
4+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI. Hands-on experience with ML/AI frameworks like PyTorch, Facenet, OpenCV, and other relevant libraries. Proven ability to work with GPU acceleration for deep learning model development and optimization. Strong understanding of neural networks, computer vision, and other AI technologies. Solid problem-solving skills and the ability to translate business requirements into ML/AI solutions.