Front-End Engineer

A rapidly-growing company that is successfully combining complicated acquisitions into a single, cohesive structure that is completely dedicated to acquisition-driven growth, is looking for a Front-End Engineer. The selected candidate will be participating in regular code reviews with peers and managers. The company is offering distinctive services enabling them to purchase entire teams of personnel and IT resources from large corporations, MSPs, and data center operators. This position requires 6+ hours of overlap with the EST time zone. 

Job Responsibilities:

• 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