Experience Range: 3 - 8 yearsLocation: Bengaluru (WFO) 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 machine learning life cycle-algorithms, data structures and design patterns. Ability to design and develop machine learning algorithms.
Discover, design, and develop analytical methods to support novel approaches of data and information processing
Identify and apply appropriate methods to process and analyze large data-sets of labelled and unlabeled records, and discover new valuable insights for the system
Provide support on other part 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 solution
Requirements
Minimum Bachelor Degree in Computer Science, Information System with Machine Learning specialization or equivalent
Strong foundation in database and data scaling
Experience with various Machine Learning algorithms and ability to apply in real life cases
Experience in MySQL, NoSQL and Columnar database
Experience in C++, C, Python and other programming languages will be an advantage
Prior experience in Credit Risk, Unsupervised Modelling and Fraud Modelling are mandatory
Prior experience in e-payments or e-commerce industry is a plus
Strong analytical, interpersonal, communication and presentation skills
