Senior ML Engineer — Remote Document Extraction

Entrust; Lisboa; Hybrid; EUR 107,000 - 178,000; Full time

Benefits offered by this job

Flexible work options

Learning & development

Collaborative culture

Job summary

Entrust is seeking a Senior ML Engineer for Document Extraction to build high-accuracy extraction across global documents. You will work on production ML systems, linking training, evaluation, and deployment of LLMs with a focus on scalable, reliable onboarding and verification workflows.

You'll collaborate with Applied Science, Product, Design, Data Science, and Operations to ship robust features, optimize inference, and ensure measurable value for customers while mentoring peers in a

Qualifications

• Strong production engineering experience required.
• Hands-on LLM/ML systems experience in production.
• Technical depth and breadth across software engineering.
• End-to-end ownership from idea to production.

Responsibilities

• Collaborate with cross-functional teams to deliver high-accuracy document extraction solutions.
• Lead RFCs and design production-ready features; ensure reliable deployments.
• Build and optimize ML pipelines for training, evaluation, and deployment of LLM models.
• Implement GPU optimizations for real-time inference and scalable processing.
• Mentor engineers and drive RFC reviews, code quality, and documentation.

Skills

Production engineering

LLM/ML systems

End-to-end ownership

Python expertise

Cloud infrastructure

System design

Mentorship

Tools

TensorFlow

PyTorch

Kubernetes

AWS

GPU inference optimization

Job description

Entrust is seeking a Senior ML Engineer for Document Extraction to build high-accuracy extraction across global documents. You will work on production ML systems, linking training, evaluation, and deployment of LLMs with a focus on scalable, reliable onboarding and verification workflows.

You'll collaborate with Applied Science, Product, Design, Data Science, and Operations to ship robust features, optimize inference, and ensure measurable value for customers while mentoring peers in a