AI/ML Engineer

Sourced from devportalnotes.com

Chime's data science and ML team builds models for fraud protection, lending and personalization. This engineer takes deep learning and classical ML models end to end into production on large transactional datasets, from problem framing through monitoring and retraining. The role partners closely with product, engineering, analytics and risk teams and contributes to shared ML platform standards.

• Build and deploy deep learning and classical ML models on financial data
• Take models from problem framing to production and monitoring
• Design feature pipelines, batch and real-time inference and retraining
• Partner with product, engineering, analytics and risk teams
• Connect model performance to member and business metrics
• Contribute to the shared ML platform and standards

• Production deep learning experience
• Solid ML fundamentals and evaluation design
• Experience across the full ML lifecycle
• Comfort with messy data issues like leakage and class imbalance
• Strong Python and SQL with PyTorch and Spark
• Working knowledge of AWS, SageMaker, Airflow, Kafka, Redis and Snowflake

• Experience in fintech or financial data
• Familiarity with fraud, lending or personalization domains