Senior ML/NLP Engineer for Low-Latency Financial AI

RavenPack; España; On-site; EUR 60,000 - 90,000; Full time

Job summary

RavenPack in Europe is seeking an experienced Machine Learning / NLP Engineer to lead a high-impact infrastructure project. You will design, evaluate, and deploy advanced ML models to complement our large-scale detection pipeline, collaborating with core engineering and data teams to create a hybrid architecture.

This role focuses on low-latency inference, scalable NLP solutions, and robust testing, with details discussed under NDA at interview.

Qualifications

• Advanced NLP and deep learning with entity extraction and text classification.
• Experience with transformer-based models and encoding methods.
• Proficiency in MLOps and production engineering for low-latency systems.
• Ability to design evaluation frameworks and metrics.
• Experience integrating ML with legacy software architectures.

Responsibilities

• Design, train, and deploy NLP models to scale data architecture.
• Build integration layers for new ML predictions with production systems.
• Develop automated feedback loops for continuous learning.
• Deploy models to production with low-latency constraints.
• Establish evaluation benchmarks and monitoring dashboards.

Skills

NLP & DL

Transformer models

MLOps

Low-latency inference

CI/CD

Tools

Python

PyTorch

TensorFlow

Docker

Kubernetes

Job description

RavenPack in Europe is seeking an experienced Machine Learning / NLP Engineer to lead a high-impact infrastructure project. You will design, evaluate, and deploy advanced ML models to complement our large-scale detection pipeline, collaborating with core engineering and data teams to create a hybrid architecture.

This role focuses on low-latency inference, scalable NLP solutions, and robust testing, with details discussed under NDA at interview.