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
About Company
Our recruitment process is aligned with this very same value.
‘Get it right the first time’ has been a driving factor in our search for the right people. Our robust process entails understanding the client’s industry and requirements in-depth and meticulously searching for the right fit. We carry out a detailed fitment analysis which takes into account not only the candidate’s skills and capability to fulfil the requirements, but also his/her values and attitude to fit into the respective team and company’s culture. In our decade-long journey since our inception in 2011, we have built strategic partnerships with clients from different sectors.