Role

• Develop highly scalable classifiers and other models leveraging machine learning, deep learning and algorithmic approaches for real world, large scale problems. 
• Apply the latest advances in deep learning and machine learning to increase efficacy and performance.
• Integrate, deploy, test and verify your algorithms and models through simulation and in real-world environments
• Design, develop, test, deploy, maintain and improve software.

Requirements

• Master’s degree or Bachelor’s degree in Computer Science, Data Science, Electrical Engineering or related fields
• 2+ years of work experience as a machine learning engineer, data scientist and software developer
• Solid background and knowledge in machine learning and deep learning. Proficiency in various neural networks architectures used in Deep Learning, Reinforcement Learning etc. 
• Solid familiarity with one of the deep learning frameworks: Pytorch, Tensorflow, Keras, etc.
• Strong understanding of data structures, algorithms, and application to real-world projects
• Proficiency in one or more of the following languages - GoLang, Python, Java, C/C++ 
• Familiarity with NoSQL, SQL, relational and graph data stores

Plus

• Master’s degree in Computer Science, Electrical Engineering or related fields
• Relevant professional experience with one or more of the following: Natural Language Understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
• Enjoy working in a fast-paced, rapidly changing environment
• Ability to continuously learn and work both independently and as part of a team