Computer Vision Engineer Trainee

SynecX AI Labs is cutting-edge research and development startup company with office in Coimbatore, India 🇮🇳. We endeavour to create new technology, products, and services in manufacturing, retail and Logistics. To stay at the forefront of innovation, we're building a global network of talented researchers and engineers. We believe diversity is key to achieving research excellence, and career program is one way we're fostering the next generation of tech leaders. We offering outstanding career opportunities around frontline technologies such as AI, Computer Vision and Deep Learning.
We're looking for a talented individual to join our growing team and tackle challenging problems with cutting-edge deep learning techniques.

Roles and Responsibilities:

• Design and implement state-of-the-art computer vision algorithms and deep learning models for various applications (object detection, image classification, image segmentation, etc.).
• Preprocess, analyse, and augment large image and video datasets to train and evaluate models.
• Stay current with the latest advancements in computer vision, deep learning frameworks, and optimization techniques.
• Collaborate with cross-functional teams (data scientists, software engineers) to integrate computer vision solutions into real-world products.
• Optimize and troubleshoot models for accuracy, efficiency, and real-time performance.
• Ability to rapidly prototype integration of latest research in the field into the product.

Skills and Qualification:

• Bachelor or Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).
• Proven experience with deep learning frameworks (TensorFlow, PyTorch, etc.) and computer vision libraries (OpenCV, etc.).
• Strong understanding of computer vision principles (image processing, feature extraction, object recognition, etc.).
• Experience working with large datasets and familiarity with distributed computing platforms.
• Excellent communication and collaboration skills and Excellent programming skills (Python, C++).
• Ability to think critically, solve problems creatively, and translate business needs into technical solutions.
• Scientific expertise and real-world experience in deep learning (Recursive neural networks, CNN, LSTM, and DNN) -applied to Computer vision problems.