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.