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 / NLP (Contractor) (Málaga)
🏢 Ravenpack
📍 Málaga