AI Data Trainer & AI Model Optimization Engineer
Core
Develop, train, validate, and optimize AI models for intelligent document processing, entity extraction, document classification, and compliance automation in regulated industries.
Role type
AI Data Trainer & AI Model Optimization Engineer
Builds
Production AI models and training pipelines for document intelligence and compliance automation
Domain
Financial Services, Healthcare, Real Estate, Insurance, Government
Deliverable
production ML models
Required skills
NLP, document intelligence, machine learning model training and optimization, Python, MLOps, data annotation and dataset management, transformer models, embedding models, SLMs, LLMs, RAG architectures, prompt engineering, model evaluation frameworks
Preferred skills
Intelligent Document Processing (IDP) platforms, OCR, semantic search, cloud-based AI platforms (Azure/AWS/Google), explainable AI frameworks, AI observability, vector databases
Responsibilities
Develop and optimize AI models for document intelligence and compliance; Build and maintain training pipelines and evaluation frameworks; Evaluate SLMs, FastText classifiers, and LLM-assisted workflows; Design domain intelligence frameworks for regulated industries; Establish model quality metrics and validation processes; Analyze production behavior and collaborate on improvements; Create documentation for training methodologies and model behavior
Seniority
Mid-level, hands-on IC