Machine Learning Engineer
Core
Build and train production ML models for pricing, automation, and business-critical decision systems, converting research prototypes into scalable systems.
Role type
Senior Machine Learning Engineer (Production Systems)
Builds
Production ML models, mission-critical services, APIs, and platforms for agentic research and automated retraining.
Domain
Financial services / Pricing / Automation / High-stakes markets
Deliverable
production ML models
Required skills
Python, Statistics, ML lifecycle management, System design, Data engineering, Model monitoring, Technical leadership
Preferred skills
Pricing/forecasting domain expertise, Streaming/event-driven systems, Kafka, gRPC, Redis
Technologies
MLflow, Airflow, Spark, Delta Lake, Kafka, gRPC, Redis
Responsibilities
Own model pipelines end-to-end (ingestion to monitoring), design and evolve mission-critical services, address data drift and model decay, lead technical design reviews, mentor teammates.
Seniority
Senior, hands-on IC with mentorship responsibilities