Senior ML Engineer — LLM Systems & Evaluation

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

Descripción de la vacante

Grid Dynamics in Málaga, Spain, seeks a Senior Machine Learning Engineer specializing in LLM systems and evaluation to drive next-generation AI products including RAG and safety-focused assessment.

You will own ML projects end-to-end, design rigorous evaluation methodologies, build datasets and benchmarks, and work with product, engineering and research teams to translate business goals into measurable ML objectives.

Formación

• 5+ years of experience in Machine Learning Engineering or related field.
• Strong understanding of ML fundamentals and model evaluation.
• Strong Python programming skills with modern ML frameworks.
• Understanding of RAG, agentic systems and LLM safety concepts.
• Experience training, fine-tuning, or adapting ML models.
• Experience working with Large Language Models beyond API integration.
• Ability to translate results into actionable recommendations.

Responsabilidades

• Own ML projects from problem definition through implementation.
• Design and implement evaluation methodologies for AI systems.
• Create datasets, benchmarks, and metrics to measure performance.
• Evaluate and improve LLM-based systems including RAG, agents, and safety.
• Analyze model behaviour, identify failure modes, and propose improvements.
• Build and maintain ML pipelines, tooling, and evaluation infra.
• Collaborate with product, engineering, and research teams to align ML objectives with business goals.
• Prototype and iterate rapidly to solve business and product challenges.
• Communicate findings, trade-offs, and recommendations to stakeholders.

Conocimientos

ML fundamentals

Python programming

Model evaluation

Communication

Problem solving

Ambiguity handling

Herramientas

PyTorch

TensorFlow

JAX

RAG tooling

Descripción del empleo

Grid Dynamics in Málaga, Spain, seeks a Senior Machine Learning Engineer specializing in LLM systems and evaluation to drive next-generation AI products including RAG and safety-focused assessment.

You will own ML projects end-to-end, design rigorous evaluation methodologies, build datasets and benchmarks, and work with product, engineering and research teams to translate business goals into measurable ML objectives.