Machine Learning Engineer, Knowledge Graph Intelligence
Core
Develop algorithmic solutions and NLP models for production-ready applications to support front office investment professionals at a global alternative investment firm.
Role type
Senior Applied Scientist / Machine Learning Engineer (NLP & GenAI)
Builds
Production ML models, GenAI solutions, and predictive systems for trade and communication surveillance.
Domain
Financial services / Alternative investment / Compliance surveillance
Deliverable
production ML models
Required skills
Python, NumPy, PyTorch, spaCy, Hugging Face, NLP (tokenization, embeddings, transformers), LLMs/foundation models, sparse data handling, weak supervision, semi-supervised learning, model explainability
Preferred skills
None explicitly stated
Technologies
PyTorch, Hugging Face, spaCy, NumPy
Responsibilities
Develop algorithmic solutions and models for production applications; implement GenAI solutions and contribute to modeling/data preparation; work with sparse data to improve model accuracy; conduct data evaluation, preprocessing, and feature engineering; collaborate cross-functionally to integrate models into production systems.
Seniority
Senior, hands-on IC
