✨ About The Role
- The role involves leveraging machine learning and AI to address real-world challenges in scientific visualization, data analysis, or image processing.
- The candidate will be expected to dive deep into complex challenges and explore unconventional solutions to exceed expectations.
- There will be opportunities to collaborate with world-class engineers and domain experts, fostering personal and professional growth.
- The position requires taking full end-to-end ownership of customer problems, from data gathering to production solutions.
- Staying updated with cutting-edge research in AI and applying it in innovative ways is a key responsibility of the role.
⚡ Requirements
- The ideal candidate has a solid foundation in machine learning concepts, including neural networks and supervised/unsupervised learning.
- Proficiency in Python and experience building fullstack products that leverage machine learning is essential.
- A strong portfolio showcasing previous work, such as GitHub repositories or personal projects, is highly valued.
- The candidate should possess a curious mindset and demonstrate grit in problem-solving, showing a willingness to learn and adapt quickly.
- A proactive approach is necessary, as the candidate should take initiative and figure out solutions independently.
- Collaboration skills are important, but the candidate should also be comfortable challenging ideas to reach the best outcomes.