Data Science & ML-Ops Team Lead
Core
Lead a multidisciplinary team to design, build, deploy, and operate production-grade machine learning systems for real-time fraud prevention and risk assessment.
Role type
Senior IC Machine Learning Team Lead (MLOps)
Builds
Production ML models, low-latency inference services, and scalable distributed systems for fraud detection
Domain
Fintech / Cybersecurity / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning, MLOps, distributed systems, software engineering, team leadership, model lifecycle management, feature engineering, real-time decisioning
Preferred skills
Fraud detection, identity security, risk engines, behavioral analytics, Kubernetes, Docker, Kafka, Spark, Airflow, Flink, AWS/GCP/Azure, LLMs, GenAI, feature stores, vector databases
Technologies
Kubernetes, Docker, Kafka, Spark, Airflow, Flink, AWS, GCP, Azure, feature stores, vector databases
Responsibilities
Lead and mentor Data Scientists and ML Engineers; Drive strategy and architecture for ML capabilities; Design and optimize models for fraud prevention; Own end-to-end ML lifecycle; Build and scale ML platforms and tooling; Collaborate with Product, Engineering, and Security teams; Define best practices for model serving and observability
Seniority
Senior, hands-on IC with leadership responsibilities
