Junior AI Engineer

Develop and implement machine learning algorithms and computer vision models
for real-time processing.
Build and optimize Object Detection models such as YOLO (You Only Look Once), SSD
(Single Shot MultiBox Detector), Faster R-CNN, and more.
Collaborate with cross-functional teams to design, build, and deploy AI-driven
software solutions.
Integrate Object Detection capabilities into software applications for automation and smart analytics.
Perform data preprocessing, image augmentation, and model evaluation.
Optimize and fine-tune YOLO models for speed and accuracy in real-world scenarios.
Maintain and improve code quality, organization, and automation.
Troubleshoot issues and provide solutions to complex technical challenges.
Document AI models, software architecture, and development processes.

Proficiency in Python and its libraries (NumPy, Pandas, OpenCV, TensorFlow,
PyTorch).

Solid understanding of Computer Vision concepts and image processing techniques.

Hands-on experience with Object Detection models like YOLO, SSD, Faster R-CNN,
and custom model training.
Experience in Software Development and version control (Git).
Familiarity with REST APIs, database management, and cloud deployment.
Knowledge of Machine Learning algorithms and deep learning architectures.