Senior ML Engineer / Data Scientist
Core
Design and develop a self-learning Postlog and Prelog recognition system using LLMs to extract structured data from media layouts and improve entity matching.
Role type
Senior IC machine-learning engineer (LLM-powered recognition)
Builds
Production-grade LLM pipelines for layout recognition, entity matching, and data extraction
Domain
Media & Advertising / Large Language Models
Deliverable
production ML models
Required skills
Large Language Models, prompt engineering, Python, SQL, statistics, classification, ranking, AWS cloud services, offline evaluation metrics
Preferred skills
Amazon Bedrock, Claude/Sonnet-class models, active learning, weak supervision, cost-aware LLM operations, Glue, Airflow
Technologies
AWS (S3, IAM, CloudWatch), Python, SQL, LLM frameworks
Responsibilities
Design self-learning recognition systems, build versioned prompts and evaluation datasets, optimize layout mapping and confidence scoring, analyze production failures, run shadow-mode comparisons, monitor model drift and operational costs, develop entity-matching systems, collaborate on ML integration
Seniority
Senior, hands-on IC
