ML Engineer

SHIELD • Fraud Detection • On-call duty • 1 day ago
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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Experience
5+ years exp

First seen by Alion on Oct 26, 2026. SHIELD scores C on the Alion truth index.

Overview
Company
Impact
Profile match

SHIELD

SHIELD is a device-first fraud intelligence and detection platform that stops account takeovers, collusion fraud, bot attacks, fake accounts and abuse across web and mobile apps. Its SHIELD Device ID provides device identification for digital businesses, and clients include inDrive, Alibaba, Meesho and TrueMoney. The company is headquartered in Singapore.
shield.com • HQ: Singapore • Fraud Detection • Est. 2008
Tech stack of SHIELD

Requirements:

  • 4+ years of experience leading self-directed, distributed teams in a fast-paced environment with direct people management.
  • Strong leadership and communication skills, with the ability to drive decision-making and inspire teams to achieve goals.
  • Proficiency in Agile/Scrum frameworks and tools for project planning and execution.
  • Technical expertise in machine learning, AI, and software engineering, with experience in SaaS environments, is preferred.
  • Experience with DevOps practices, technical support, and managing on-call rotations.
  • Proven track record of mentoring and developing engineers at various career stages.
  • Familiarity with NLP or information retrieval, is a plus.
  • Bachelor's or Master's degree in a related field, with a focus on machine learning, artificial intelligence, or software engineering.

Skills

AI, Agile, ML, Scrum, artificial intelligence, machine learning

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