Machine Learning Engineer

SecuredTouch provides real-time, adaptive fraud detection throughout the customer journey to detect fraud early, with proven ROI from day 1. Our solution ensures accurate risk-based detection for multiple use cases including ATO, bots, and no-transaction fraud. SecuredTouch customers benefit from reduced overall fraud losses while maintaining a smooth customer experience.

Oh and of course, we’re also fun to be with 🙂

Are you ambitious?

Are you looking for a place to spread your wings?

Do you live & breathe tech innovation?

Job Description:

We are looking for a ML Engineer to join our growing team of Data Science. As a ML Engineer you will work with our Data Scientists, Data Engineers and Fraud Researchers on delivering fraud detection solutions, on a massive scale to top tier eCommerce worldwide. You’ll join a company with innovative teams, cutting-edge technologies, and leading solutions in the fast-growing behavioral biometrics field.


  • Developing & integrating machine learning based algorithms.
  • Developing & maintaining micro-services infrastructure at large scale.
  • Optimizing processes run-time and solving problems in a scalable manner.
  • Push to improve the data collection & feature engineering validity and quality.
  • Integrate new technologies into the current spec.

Required Skills:

  • Bachelor degree in CS / SE / IS or equivalent.
  • At least 2-3 years experience as a developer.
  • Machine learning knowledge.
  • Python knowledge.
  • Hands-On experience with developing and maintaining production systems.
  • Analytical mind, problem-solving attitude.
  • Curious, Self-Taught, and Innovative.
  • Able to learn quickly and adapt to changes.


  • Experience with Cassandra, Redis, Kafka, Docker, K8s.
  • Experience with AWS/GCP.

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