Front-End Engineer

• Carry out monotonous work for 6 to 8 hours each day
• Have discussions with other stakeholders regarding requirements, design, and the adoption of new features
• Spend more than 6 hours monitoring and using computers and testing equipment
• Work in an agile environment where prompt iterations and helpful feedback are essential

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a front-end engineer
• Prolific experience working with Java, C++, Python, CSS, and HTML
• Practical knowledge of machine learning utilizing Caffe/Caffe2, TensorFlow, PyTorch, or other comparable deep learning frameworks
• Solid knowledge of MongoDB, GIT, and the links and interactions between front-end and back-end datasets in AI/ML
• Proficiency with Django or Flask open-source frameworks
• Good knowledge of NLP, unsupervised and supervised learning, labeling, and dataset construction
• Extensive knowledge of developing and managing algorithms
• Demonstrable experience using the Keras API or practical knowledge of Deep Learning frameworks like PyTorch and TensorFlow
• Thorough understanding of conventional machine learning algorithms, including decision trees, linear and logistic regression, SVM, kernel approaches, and bagging and boasting techniques, among others
• Must have a prior experience and aptitude in analysis, development, and debugging
• Solid knowledge of the Machine Learning techniques employed by ONNX, TF, PyTorch, etc., and linear algebra principles
• Interest in and curiosity about upcoming ML and data science trends
• Solid understanding of linear algebra fundamentals and machine learning operations used by ONNX, TF, PyTorch, etc.
• Great theoretical understanding of model architectures/designs for different object categorization, object detection, recommender systems, NLP, text and speech processing, and 3D models
• Good understanding of performance and accuracy metrics for various classes of neural networks
• Excellent teamwork abilities, a can-do attitude, and strong collaborative capabilities
• Preferably with a degree in ML/AI, statistics, applied mathematics, or another quantitative field
• Fluent in spoken and written English communication