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.

ResponsabilidadesDesign, train,



and deploy NLP models to scale the data architectureBuild integration layers for ML predictions with production systemsCreate automated feedback loops and learning pipelines for continuous improvementTransition models from research to production with low-latency, high-reliability requirementsEstablish evaluation benchmarks, testing harnesses, and monitoring dashboards Requisitos principalesAdvanced NLP & Deep Learning fundamentalsTransformer architectures: training, fine-tuning, deploymentMLOps & production engineering for low-latency environmentsEvaluation frameworks, gold-standard datasets, and performance metricsComplex system integration with probabilistic and legacy softwareSoftware engineering best practices, clean code, and CI/CD for MLNLPDeep LearningTransformersMLOpsProduction EngineeringEvaluation & Metrics

📌 Senior Machine Learning / NLP (Contractor) - marbella
🏢 Jobrapido
📍 Marbella