Staff Machine Learning Engineer for AI Product
Core
Building and shipping customer-facing Generative AI and machine learning products for 600,000+ business customers in the financial services sector.
Role type
Staff Machine Learning Engineer (AI Product)
Builds
Customer-facing AI features integrated into a financial workspace platform.
Domain
Fintech / Generative AI / Machine Learning
Deliverable
production ML models
Required skills
End-to-end ML model development, ML Ops (drift detection, automated retraining), Python engineering, FastAPI, database interaction, model optimization, GenAI application
Preferred skills
Experience with Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor
Technologies
Python, Snowflake, Kafka, Kibana, PostgreSQL, Airflow, AWS, Prometheus, ArgoCD, GitHub, Cursor
Responsibilities
Develop ML models end-to-end from requirements to production deployment; Integrate ML into the product ecosystem with Product, Data, and Backend engineers; Build the ML Ops framework for scaling and monitoring; Ensure robust technical implementation and continuous monitoring of client-facing AI; Mentor peers and share best practices across the ML team
Seniority
Staff, hands-on IC with mentorship responsibilities
