Full‑Stack Machine Learning Engineer
Core
Build and deploy ML-powered services, tools, and full-stack applications supporting fraud and identity analytics.
Role type
Full-stack Machine Learning Engineer
Builds
ML inference APIs, microservices, data/feature pipelines, and full-stack tools for model evaluation.
Domain
Fraud and identity analytics
Deliverable
production ML models
Required skills
Python, Java, Snowflake, ML model serving, feature engineering, DevOps, secure engineering
Preferred skills
LLMs, embeddings, vector databases, behavioural/graph/anomaly detection models, dbt, Snowpark
Technologies
Snowflake, Snowpark
Responsibilities
Develop ML inference APIs and microservices; Build full-stack tools for model evaluation; Integrate ML models into real-time production systems; Implement automated training, monitoring, and evaluation workflows; Use and contribute to AI-assisted development tools; Own DevOps and security standards for assigned services.
Seniority
Mid-Senior, hands-on IC
