Machine Learning Engineer
Core
Design, build, and deploy production-ready AI systems for automated discovery, mapping, and tracking of sensitive personal data, focusing on NLP, entity extraction, and LLM-powered automation.
Role type
Machine Learning Engineer (Applied AI)
Builds
Production ML and LLM systems for data privacy, security, and governance
Domain
Data storage, data privacy, and enterprise data governance
Deliverable
production ML models
Required skills
Python, PyTorch, Hugging Face Transformers, spaCy, NLP, LLM integration, ML pipeline construction, model optimization, system deployment
Preferred skills
Experience with document classification, dataset design, latency/cost optimization, architectural decision-making
Technologies
PyTorch, Hugging Face Transformers, spaCy
Responsibilities
Design and implement ML/deep learning models for discovery and classification; Integrate LLMs and ML models into automated workflows; Define model training strategies and dataset requirements; Build and maintain end-to-end ML pipelines; Optimize models for production constraints; Deploy and monitor ML systems in production; Translate business challenges into ML system designs
Seniority
Mid-to-Senior, hands-on IC