About Internship
Requirements
- Model Development:
- Experience in building computer vision models for tasks such as object detection, image segmentation, and classification using tools like TensorFlow (preferred), PyTorch, or YOLO.
- Debugging Skills:
- Proficiency in identifying and resolving issues in model training, evaluation, and deployment pipelines.
- Optimization Expertise:
- Familiarity with improving model accuracy, speed, and efficiency through techniques like hyperparameter tuning, model quantization, or pruning.
- Data Handling:
- Comfortable with preprocessing, augmenting, and managing datasets to ensure high-quality inputs for models.
- Algorithm Knowledge:
- Solid understanding of architectures like CNNs, YOLO, SSD, or U-Net, and the ability to implement or fine-tune them.
- Programming Proficiency:
- Strong skills in Python with experience using libraries such as OpenCV, NumPy, pandas, and matplotlib.
- Problem-Solving Mindset:
- Ability to independently research, experiment, and innovate to solve challenges.
- Accountability:
- Take ownership of tasks and deliver high-quality work with minimal supervision.
- Learning Orientation:
- A growth mindset with a willingness to learn and adopt new techniques and tools.
Interview Process
- Assignment (24-48 Hours):
- Complete a practical assignment designed to test your ability to build, debug, and improve computer vision models within a reasonable time frame.
- One-on-One Call:
- Discuss your approach, thought process, and decision-making while tackling the assignment.
- Highlight how you handled challenges and justified your methods.
- Ad-Hoc Implementation:
- During the call, perform a small modification or implement a feature related to the assignment to demonstrate your understanding of core concepts and problem-solving skills.
This internship is an excellent opportunity to gain hands-on experience in computer vision and work on real-world applications. We value a strong problem-solving mindset, technical expertise, and a willingness to learn and innovate. Apply now and join us in creating cutting-edge AI solutions!
