Machine Learning Engineer

As a Machine Learning Engineer at our company, you will be responsible for applying the latest developments in deep reinforcement learning to advance the capabilities of autonomous systems. Your key responsibilities will include: - Creating OpenAI-Gym-like environments for web and mobile applications - Re-purposing OpenAI and DeepMind RL algorithms - Understanding and formulating solutions for hard RL problems for discrete action spaces - Having experience in Computer Vision, Image Processing, Image/Video Analytics, Object Detection, etc. - Prototyping deep reinforcement learning and computer vision solutions - Creating multi-agent systems - Collaborating with the team to understand business and user requirements and derive adequate application development concepts - Building and evaluating algorithms for test optimization based on user behavior or statistical optimization Your knowledge and experience should include being an expert in Python, staying up to date with the latest advancements in reinforcement learning (specifically on OpenAI Gym, Self-Play, Multiagent systems), having experience with deep learning frameworks such as PyTorch, Tensorflow, Keras, having a track record of developing learning algorithms and/or systems, experience in productionizing deep learning systems, being a self-learner with a proven aptitude for acquiring knowledge and skills, experience with creating and pre-processing data sets for computer vision applications, ability to initiate and drive projects to completion with minimal guidance, ability to communicate the results of analysis effectively, and possessing highly effective time management, communication, and organizational skills. Formal Education & Certification: - Bachelor's/Master's degree in computer science, Mathematics, Machine Learning or a related field, or equivalent experience Join us as a Machine Learning Engineer to work on cutting-edge projects and contribute to the advancement of technology.,