Overview As a Machine Learning / NLP Engineer at RavenPack, 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 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 * NLP * Deep Learning * Transformers * MLOps * Production Engineering * Evaluation & Metrics

📌 Senior Machine Learning (Málaga)
🏢 Ravenpack
📍 Málaga