Senior Software Developer, ML Ops
Core
Build a self-serve Machine Learning Platform to enable data scientists to train, ship, and operate ML and GenAI models reliably at scale.
Role type
Senior IC Machine Learning Platform Engineer
Builds
Framework-agnostic services for model training, inference, evaluation, and monitoring; centralized access to LLMs
Domain
Financial technology / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Kubernetes, Ray, system design, observability, end-to-end project ownership
Preferred skills
PyTorch, Transformers, feature stores, vector databases, Triton, CUDA, DVC, vLLM
Technologies
Kubernetes, FastAPI, MLflow, Ray, Bedrock, vLLM, Chronon Feature store, Kafka, Postgres, Redshift, Snowflake
Responsibilities
Build standardized services for ML training and inference; establish roadmap and architecture for the ML platform; develop highly performant scalable systems on Kubernetes and Ray; partner with data scientists and stakeholders to support new data products
Seniority
Senior, hands-on IC