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Company Overview – This company offers a device-focused fraud intelligence platform to help digital businesses eliminate fake accounts and prevent fraud. They identify and stop fraud, including fake accounts, account takeover, and fraudulent transactions, using device identification technology and AI.
Machine Learning Engineer (Risk)
Responsibilities
As a Machine Learning Engineer (Risk), you will develop and leverage innovative machine learning solutions to solve complex sets of problems and applications. By analyzing and detecting patterns in vast amounts of data, you will have a good understanding of the machine learning life cycle – algorithms, data structures, and design patterns. We are looking for talented and passionate individuals who are proactive in identifying problems and have the logical thought process and skills to solve them. There will be many opportunities to explore new tech stacks and to work on advanced technologies.
Ability to design and develop machine learning algorithms
Discover, design, and develop analytical methods to support novel approaches to data and information processing
Identify and apply appropriate methods to process and analyze large datasets of labeled and unlabeled records, and discover new valuable insights for the system
Provide support on other parts of the system (not limited to Machine Learning)
Conduct software performance analysis, scaling, tuning, and optimization
Review and contribute to improve current software and system architecture for stability and to optimize performance
Research & development of fraud detection solutions
Requirements
Minimum Bachelor’s Degree in Computer Science, Information System with Machine Learning specialization, or equivalent
Strong foundation in databases and data scaling
Experience with various Machine Learning algorithms and the ability to apply them in real-life cases
Experience in MySQL, NoSQL, and Columnar databases
Experience in C++, C, Python, and other programming languages will be an advantage
Prior experience in e-payments or e-commerce industries is a plus
Strong analytical, interpersonal, communication, and presentation skills
Disclaimer
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No Client Relationship: This company is not a client of SpringCube unless stated.
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