What are the responsibilities and job description for the Computer Vision Engineer position at Birbal AI?
Birbal AI is dedicated to transforming ownership through innovative artificial intelligence solutions, enabling individuals and businesses to achieve smarter, data-driven decision-making. As a pioneer in the digital economy, Birbal AI combines cutting-edge technologies such as AI, blockchain, and machine learning to create equitable and transparent ownership models. The company offers personalized, scalable solutions for optimizing asset management and digital resources, empowering clients with financial freedom and informed decision-making. With a strong commitment to innovation and an inclusive workplace culture, Birbal AI drives progress in a rapidly evolving technological landscape from its base in India.
This is a full-time hybrid role for a Computer Vision Engineer. Based in Austin, TX, the role supports both in-office collaboration and work-from-home flexibility. The Computer Vision Engineer will focus on developing and implementing computer vision models and algorithms, advancing research in pattern recognition, and utilizing machine learning to tackle complex problems. Additionally, the role involves collaborating with interdisciplinary teams, conducting data analyses, and contributing to innovative AI-driven solutions within the field of digital ownership and beyond.
- Strong expertise in Computer Vision and Pattern Recognition techniques
- Knowledge of Robotics and its application in AI and machine learning projects
- Solid foundational understanding of Computer Science and Data Science principles
- Prior experience with developing and deploying AI and machine learning models
- Proficiency in coding languages such as Python, C , or MATLAB
- Familiarity with tools and libraries such as TensorFlow, PyTorch, or OpenCV
- Ability to work collaboratively in a hybrid environment and effectively communicate technical concepts to diverse audiences
- Master's or Ph.D. in Computer Science, Engineering, or a related field is preferred, along with demonstrated hands-on experience in computer vision projects