Lead AI Data Trainer & AI Model Optimization Engineer

📋 Description Lead AI model training and optimization for document intelligence and extraction. Build training pipelines, datasets, and evaluation frameworks for scalable models. Optimize SLMs, FastText, and LLM workflows for compliant extraction. Establish domain intel frameworks for GDPR, PCI-DSS, HIPAA, SOC 2 and related requirements. Define model quality metrics and validation approaches for accuracy and explainability. Analyze production behavior and drive continuous improvement with Product, Engineering, and Customer Success teams. 🎯 Requirements Experience with NLP, document intelligence, info retrieval, or ML systems. Experience training, evaluating, or optimizing ML models (classification, extraction, retrieval, LLM). Strong Python skills with ML frameworks and data processing pipelines. Experience with MLOps, AI lifecycle automation, or model deployment. Understanding of transformer models, embeddings, SLMs, LLMs, RAG, or prompt engineering. Experience with data quality, testing, validation, or model performance metrics. 🎁 Benefits Innovation: critical thinking and trailblazing. Growth: space to grow and meaningful work. Team: supportive, ego-free collaboration.