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← Arkose Labs

Machine Learning Director

Arkose Labs
Location
Pune, India
Posted
12 days ago
Department
Product
What they actually want (must-haves)
  • 6+ years building and deploying ML models in production
  • 2+ years directly managing ML engineers or data scientists
  • Track record of shipping ML systems that moved a real business metric in fraud, trust & safety, cybersecurity, or similar domains
  • Strong technical depth in evaluating modeling and architecture choices
  • Experience across the full ML lifecycle: data pipelines, feature engineering, training, evaluation, deployment, and monitoring
  • Proven people-management skills: hiring, coaching, and developing individual contributors
Nice to have
  • Experience with bot detection, device fingerprinting, behavioral biometrics, or real-time risk scoring
  • Experience with low-latency, high-throughput ML serving infrastructure
  • Familiarity with current ML research relevant to fraud/security
  • Experience scaling researcher productivity using Agentic AI
What the job really is

The Machine Learning Director at Arkose Labs will lead the ML team, setting the technical direction for machine learning applications in fraud detection and risk scoring. This role involves managing a small team while remaining hands-on with model design, architecture decisions, and code reviews. Responsibilities include defining the ML roadmap, establishing MLOps practices, and driving applied research to innovate fraud detection systems.

Benefits
  • Competitive salary + Equity
  • Beautiful office space with many perks
  • Robust benefits package
  • Provident Fund
  • Accident Insurance
  • Hybrid office model with flexible working hours and work from home days
Things to weigh
  • No salary listed
  • The role requires both management and hands-on technical skills, which may be demanding
  • Focus on fraud detection may limit exposure to other ML applications
Job score3.4/5
Benefits3/5
Freshness5/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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