Applications Development Analyst

Key Responsibilities:

• Develop and optimize advanced computer vision algorithms for image and video analysis tasks.
• Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.
• Test and refine models and systems based on real-world data and feedback.
• Evaluate project requirements, plan and manage the roadmap of a project.
• Present findings and insights in a clear and concise manner to stakeholders.
• Collaborate and help to integrate and deploy computer vision systems into broader product architecture.
• Conduct research to stay updated on emerging computer vision technologies and trends.
• Automate data preprocessing and annotation processes to streamline workflow efficiency.
• Maintain comprehensive documentation for algorithms, implementations, and evaluations.
• Mentor junior engineers and provide strategic guidance on project development.

Requirements and skills:

• Proficiency in Python and knowledge of C++, Java and JS is plus.
• Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNN s and vision transformers.
• Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.
• Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.
• Experience in evaluating computer vision models using relevant metrics and performance indicators.
• Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.
• Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.
• Basic knowledge of linear algebra, calculus, and statistics.
• Strong critical thinking, analytical, and problem-solving skills
• Self-motivated, quick learner and strong team player with ability to work with minimal supervision.