Software Engineer (Machine Learning)

As a Software Engineer (Machine Learning), you will develop and leverage innovative machine learning solutions for solving complex sets of problems and applications. By analyzing and detecting patterns in vast amounts of data, you should 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 taking initiatives to identify problems, and have the logical thought flow and right skill sets to solve them. There will be many opportunities to explore new tech stacks and to work on advanced technologies.

What a Software Engineer (Machine Learning) Does in SHIELD

• 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 unlabelled records, and discover new valuable insights for the system
• Provide support on other parts of the system (not limited to Machine Learning)
• Review and contribute to improve current software and system architecture for stability and to optimize performance
• Research & development of fraud detection solution

• Minimum 3 years of experience. Talents who possess a higher degree of expertise will be considered for senior opportunities
• Minimum Bachelor Degree in Computer Science, Information Systems with Machine Learning specialization, or equivalent
• Strong foundation in database and data scaling
• Experience with various Machine Learning algorithms and ability to apply them 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

• Competitive remuneration package
• Gym, Shower, and VR/chillax room
• Fully stocked pantry with coconut water, coffee, and ice cream
• Medical insurance and Food & Transport claims

• Open and collaborative working environment with a diverse and international team
• Flexible work hours
• Weekly Get-Together to unwind and bond