Overview¿No sabe con seguridad qué habilidades necesitará para esta ocasión? Simplemente lea la descripción completa a continuación para obtener una idea clara de los requisitos del candidato. As a Machine Learning / NLP Engineer at Raven Pack, you will lead the integration of state-of-the-art ML models into our high-throughput, low-latency data platform. You will design, train, and deploy NLP solutions that complement our existing infrastructure and enable a hybrid architecture. The role involves close collaboration with engineering, data, and leadership teams to drive scalable, production-grade AI capabilities for financial services. This is a unique chance to tackle challenging problems in entity resolution, continual learning, and reliable inference at scale. Responsabilidades Design, train,
and deploy NLP models to scale the data architecture Build integration layers for ML predictions with production systems Create automated feedback loops and learning pipelines for continuous improvement Transition models from research to production with low-latency, high-reliability requirements Establish evaluation benchmarks, testing harnesses, and monitoring dashboards Requisitos principales Advanced NLP & Deep Learning fundamentals Transformer architectures: training, fine-tuning, deployment MLOps & production xhfqzwm engineering for low-latency environments Evaluation frameworks, gold-standard datasets, and performance metrics Complex system integration with probabilistic and legacy software Software engineering best practices, clean code, and CI/CD for ML NLPDeep Learning Transformers MLOps Production Engineering Evaluation & Metrics #J-18808-Ljbffr