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 analysing 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 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.
- Minimum Bachelor Degree in Computer Science, Information System with Machine Learning specialisation 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 e-payments or e-commerce industry is a plus
- Strong analytical, interpersonal, communication and presentation skills
Job Responsibilities
- 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 analyse 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 optimisation
- Review and contribute to improve current software and system architecture for stability and to optimise performance
- Research & development of fraud detection solution
Location
Bangalore Urban, Karnataka, India