- Stay updated with cutting-edge research by analyzing and experimenting with the latest Computer Vision and AI papers.
- Identify AI-driven solutions to real-world problems using insights from multiple sources.
- Design, train, and optimize GAN-based models for image enhancement and transformation.
- Train, fine-tune, and deploy deep learning models for tasks like image processing, segmentation, and classification.
- Collaborate with data engineering teams to build scalable AI pipelines for continuous model improvement.
- Develop AI tools to help internal and external teams leverage innovations for customer success.
- Ensure models are scalable, rapid, and reliable by working closely with infrastructure engineering teams.
- Guide and mentor junior AI engineers and researchers to enhance team productivity.
- Hands-on experience with GANs for image synthesis and enhancement.
- Strong proficiency in TensorFlow or PyTorch for deep learning model development.
- Experience with image processing libraries like OpenCV and PIL.
- Skilled in Python, C++, or C# for model programming and debugging.
- Practical experience deploying AI models on cloud platforms such as AWS, GCP, or Azure.
- Ability to analyze research papers and apply them to real-world AI applications.
- Familiarity with Agile methodologies and tools like Git, Jira, and Confluence.
- Strong communication and collaboration skills to work across teams.