Machine Learning Engineer

Summary - Machine Learning Engineer Qualification Full time. . Generous holidays. Competitive salary Job description, Responsibilities • Apply latest developments in deep reinforcement learning to advance capabilities of autonomous systems. • Create OpenAI- Gym like environments for web and mobile applications. • Re-purpose OpenAI and DeepMind RL algorithms. • Understand and formulate solutions for hard RL problems for discrete action spaces. • Experience in Computer Vision, Image Processing, Image/Video Analytics, Object Detection, etc. • Experience in prototyping deep reinforcement learning and computer vision solutions. • Ability to create multi-agent systems. • Collaborate with the team (product owner, designers and other developers) and customers to holistically understand business and user requirements, and derive adequate application development concepts. • Build and evaluate algorithms for test optimization based on user behavior or statistical optimization. Knowledge & Experience • Expert in Python. • Up to date with the latest advancements in reinforcement learning. Specifically, on OpenAI Gym, Self-Play, Multiagent systems. • Any of the deep learning frameworks such as PyTorch, Tensorflow, Keras. • Track record of developing learning algorithms and/or systems. • Experience in productionizing deep learning systems. • Self-learner with a proven aptitude for acquiring knowledge and skills. • Experience with creating, 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. • 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.