Machine Learning Engineer
Core
Build and deploy scalable ML and AI systems serving millions of records daily, focusing on NLP, embeddings, vector search, and LLM-powered features.
Role type
Senior Machine Learning Engineer (NLP & LLMs)
Builds
Production ML systems, vector embedding/retrieval infrastructure, and MLOps pipelines
Domain
Professional services, NLP, Large Language Models, Vector Search
Deliverable
production ML models
Required skills
Python, NLP, LLMs, Vector Embeddings, Vector Search, Classification Models, MLOps, Model Monitoring, Model Evaluation, Cloud Platforms (AWS/GCP)
Preferred skills
Experience with Ground Truth Pipelines, Data Annotation Workflows, Ranking & Similarity Models
Technologies
Python, AWS, GCP, Linux, macOS, Windows
Responsibilities
Build and deploy ML/AI systems; Develop model evaluation frameworks; Maintain vector embedding systems; Partner with Data Scientists on data quality; Design scalable MLOps solutions; Translate business problems into AI features
Seniority
Mid-to-Senior, hands-on IC