Machine Learning Engineer

4 weeks ago


Singapur, Singapore SHIELD Full time

At SHIELD, we're revolutionizing the fight against fraud with our cutting-edge device-first fraud intelligence platform. As a Machine Learning Engineer, you'll play a crucial role in developing innovative solutions to detect and prevent fraudulent activity.

Our platform is powered by SHIELD AI, which uses machine learning algorithms to identify the root of fraud and provide actionable intelligence to our clients. We're trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more.

We're looking for a talented Machine Learning Engineer to join our team and help us achieve our mission of eliminating unfairness and enabling trust for the world.

Responsibilities

Design and develop machine learning algorithms to detect and prevent fraudulent activity

Discover and develop analytical methods to support novel approaches of data and information processing

Identify and apply appropriate methods to process and analyze large datasets of labelled and unlabeled records

Provide support on other parts of the system

Conduct software performance analysis, scaling, tuning, and optimization

Requirements

Minimum Bachelor's 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 e-payments or e-commerce industry is a plus

Strong analytical, interpersonal, communication, and presentation skills



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