Computer Vision Specialist - Expert

Responsibilities

Kecilin is thrilled to announce an exciting job opportunity for a Computer Vision Specialist Expert to join our dynamic team. A Computer Vision is responsible for developing, implementing, evaluating, and optimizing a Computer Vision engine, especially for Object Detection and Face Recognition, in collaboration with the development team. They also work on integrating these components into applications. You will responsible for:

• Provide technical expertise and guidance to internal teams and clients on AI and computer vision solutions.
• Evaluation and optimize Object Detection Algorithm and Face Recognition Algorithm.
• Working with the development team to integrate Computer Vision Components into the Application.
• Communicating with stakeholders to gather requirement and feedback.
• Implement and deploy AI solutions, integrating them into existing software systems or developing new applications.
• Collect and preprocess data for training AI models, ensuring data quality and integrity.
• Document and communicate AI development processes, methodologies, and outcomes.
• Developing and Implementation Object Detection and Face Recognition.
• Perform rigorous testing and validation of AI models to ensure accuracy and robustness.

Requirements

• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• At least 5 years of proven experience in AI development, specifically in the field of computer vision.
• Experience with face recognition frameworks such as OpenFace, FaceNet, and DeepFace.
• Proven track record of delivering computer vision projects from concept to deployment.
• Strong attention to detail and the ability to deliver high-quality results within deadlines.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience with open-source computer vision libraries such as OpenCV.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with object detection frameworks such as YOLO, Faster R-CNN, and SSD.
• Strong knowledge of machine learning, deep learning, and computer vision algorithms and frameworks, such as TensorFlow, PyTorch, OpenCV.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field from a top university.