Senior Machine Learning Engineer
Core
Design, build, and operate Generative AI systems to improve investment processes and outcomes.
Role type
Senior Machine Learning Engineer (Generative AI/LLM)
Builds
Multi-agent systems, semantic search, summarization, and document understanding pipelines for investment analysis.
Domain
Financial Services / Generative AI
Deliverable
production ML models
Required skills
Python, large-scale system design, distributed systems, cloud-native development, MLOps, ML model integration, project ownership, architectural decision-making
Preferred skills
Generative AI/LLM APIs, agent-based architectures, ML lifecycle tooling, model evaluation and monitoring, PyTorch, HuggingFace
Technologies
Python, PyTorch, HuggingFace, Cloud platforms, CI/CD, DevOps
Responsibilities
Design and implement scalable production-quality systems with ML/GA components; take end-to-end ownership of technical projects; collaborate with cross-functional partners to solve ambiguous problems; maintain high code quality and reliability; contribute to architectural decisions; integrate ML models into distributed systems.
Seniority
Senior, hands-on IC
