Machine Learning Engineer - Python & LLM Systems
Core
Build production LLM pipelines and systems that analyze global news, market, and proprietary data to produce market intelligence for financial institutions.
Role type
Senior Machine Learning Engineer (LLM Systems & MLOps)
Builds
Production LLM pipelines, data preparation workflows, model training/fine-tuning systems, and real-time processing pipelines.
Domain
Financial technology / Quantitative analysis / AI Systems
Deliverable
production ML models
Required skills
Python, Machine Learning, LLMs, MLOps, Apache Airflow, AWS, Docker, CI/CD, GPU workloads
Preferred skills
NLP, Infrastructure-as-code (Pulumi), Financial-market data
Technologies
Python, Apache Airflow, AWS (Lambda, ECS/EKS, S3, Redshift), Docker, GitHub Actions, Pulumi
Responsibilities
Build and maintain data preparation, model training, and evaluation pipelines; Optimize model performance regarding latency and compute; Implement automated monitoring and failure recovery for AI services; Contribute to technical decisions on system architecture and evaluation methods.
Seniority
Mid-Senior, hands-on IC
