Senior ML Engineer - LLM Systems & Evaluation

Grid Dynamics; Tarragona; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Grid Dynamics Tarragona is seeking a Senior Machine Learning Engineer specializing in LLM systems and evaluation. You will work on next-generation AI systems, including RAG applications and safety-focused evaluation, translating business goals into measurable ML objectives.

You will own projects end-to-end, design evaluation methods, build datasets and pipelines, and collaborate with product, engineering, and research teams.

Formación

• ~5+ years of experience in machine learning engineering or related field.
• ~Strong understanding of ML fundamentals and model evaluation.
• ~Experience with Large Language Models beyond simple API integration.

Responsabilidades

• Own ML projects from problem definition through implementation.
• Design evaluation methodologies for AI and machine learning systems.
• Create datasets, benchmarks, and metrics to measure model and product performance.
• Evaluate and improve LLM-based systems, including RAG applications, agents, safety systems, and end-to-end AI products.
• Analyse model behaviour, identify failure modes, and recommend practical improvements.
• Build and maintain ML pipelines, tooling, and evaluation infrastructure.
• Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives.
• Prototype and iterate rapidly to solve business and product challenges.
• Communicate findings, trade-offs, and recommendations to both technical and non-technical stakeholders.

Conocimientos

Python

ML frameworks

LLM evaluation

RAG systems

Experimentation

Communication skills

ML pipelines

Herramientas

Docker

Kubernetes

Descripción del empleo

Grid Dynamics Tarragona is seeking a Senior Machine Learning Engineer specializing in LLM systems and evaluation. You will work on next-generation AI systems, including RAG applications and safety-focused evaluation, translating business goals into measurable ML objectives.

You will own projects end-to-end, design evaluation methods, build datasets and pipelines, and collaborate with product, engineering, and research teams.