- Clean, label and analyse SDK identity, device and behaviour data; build reproducible feature and training pipelines with time-based splits that prevent data leakage.
- Check label quality, missing signals and consistency between training features and live inference inputs.
- Develop and compare baseline models for account takeover, bots and scam indicators; combine model outputs and partner-engine signals into useful trust scores.
- Evaluate precision, recall, false positives and performance across customer segments; document failure cases and develop explicit reason codes for scores and decisions.
- Use confirmed fraud and false-positive feedback to improve datasets, monitor drift and retrain models; track experiments and validate changes in shadow deployments.
- Collaborate with backend and SDK engineers on reliable,
low-latency inference and partner-model integration; support liveness or deepfake evaluation where relevant as the roadmap develops.
- Mandatory (Note): 6-day work week, though the last Saturday of every month is off
- Mandatory (Company): Candidates from a product company, ideally in fintech is a plus.
Pay: ₹405,000.00 - ₹1,200,000.00 per year
Application Question(s):
- Are you comfortable with 6-day work week, though the last Saturday of every month is off
- Do you have experience in Product company?
- What is your notice period in days? (30)
- What is your current CTC in LPA?
- What is your expected CTC in LPA? (12)
- Are you ready to relocate if not from North Delhi ?
- Reason for job change?