Machine Learning Director
Arkose Labs (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 35–65 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and drive the Data Science and ML roadmap for Arkose Titan's fraud detection and risk scoring products, aligning research with product priorities.
- Lead development, deployment, and performance management of real-time ML models for fraud/risk decisioning at scale, establishing MLOps practices including model governance, monitoring, and retraining.
- Manage and grow a small team of ML researchers; stay hands-on in model design, architecture, feature engineering, and code review.
Minimum Requirements
- 6+ years experience building and deploying ML models in production; minimum 2 years managing ML engineers or data scientists.
- Proven ability to ship ML systems impacting business metrics, preferably in fraud, trust & safety, cybersecurity, or adversarial data domains.
- Strong technical expertise in classification, anomaly detection, graph-based, and sequence models, covering the full ML lifecycle (data pipelines to monitoring).
- Work Experience Required: 6+ years ML production experience with at least 2 years people management experience.
Ideal Candidate Profile
- Experienced leader combining technical depth with management of ML research teams in adversarial/imbalanced data environments like fraud or cybersecurity.
- Strategic operator comfortable translating fraud/business metrics into ML objectives and collaborating cross-functionally with product and engineering.
- Hands-on contributor skilled in modern ML lifecycle practices and MLOps, capable of driving innovation in graph ML and behavioral analytics related to fraud detection.