Company Description
Friendly is a robotic cognition company specializing in workflow automation solutions for the Insurance and Financial Services industries. Our deep learning platform transforms the digital landscape by digitizing complex documents, facilitating claim auto-adjudication, and enabling seamless processing of new business. We have established partnerships with leading insurance carriers and are achieving remarkable outcomes. Join us in shaping the future!
Role Description
This is a full-time remote role for a Deep Learning Engineer at Friendly. As a Deep Learning Engineer, you will be responsible for developing and implementing advanced algorithms and models for our deep learning platform. Your day-to-day tasks will involve designing and training deep neural networks, optimizing models for performance and scalability, conducting research to explore and incorporate the latest advancements in deep learning, and collaborating with cross-functional teams to enhance our solutions.
Qualifications
Strong proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras
Expertise in designing and training deep neural networks for various tasks
Experience in developing and implementing advanced machine learning algorithms
Proficiency in programming languages such as Python, C++, or Java
Understanding of computer vision, natural language processing, or reinforcement learning
Knowledge of data preprocessing, feature engineering, and model evaluation
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Ability to work independently and remotely
Master's or PhD in Computer Science, Artificial Intelligence, or related field
