Machine Learning Engineer (Risk)
Location
Bangalore | India
Job description
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. We are looking for talented and passionate Software Engineers 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 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
- Minimum 5 years of experience
- Minimum 1 year of experience in Unsupervised Model.
- Minimum Bachelor Degree in Computer Science, Information System with Machine Learning specialization or equivalent
- Strong foundati
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