Machine Learning Engineer Sr
Core
Design and build the ML engineering for the pricing engine's inference serving, training pipelines, and feature engineering to run complex models in real-time with low latency on Ray.
Role type
Senior Machine Learning Engineer (Pricing/Inference)
Builds
Real-time pricing models, distributed training pipelines, and feature stores
Domain
Fintech / Pricing & Revenue Management
Deliverable
production ML models
Required skills
Python, ML serving, distributed training, feature engineering, optimization (linear programming), RL, low-latency inference, MLOps, Docker, AI-assisted development
Preferred skills
Ray ecosystem (Serve, Train, Tune, RLlib), Feast/Redis feature stores, Gurobi/HiGHS solvers, generative AI serving (vLLM, LiteLLM), multi-tenant architectures
Responsibilities
Design inference pipelines for model composition and low latency; build distributed training pipelines with resilient checkpointing; define and materialize features in a feature store; implement and optimize optimization and RL components; monitor model drift and produce explainability; provide technical leadership and mentorship
Seniority
Senior, hands-on IC with leadership
