Senior ML Engineer - LLM Systems & AI Safety

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

Descripción de la vacante

Grid Dynamics Granada is seeking a Senior Machine Learning Engineer to lead development of LLM systems and evaluation. You will own projects from problem definition to implementation, focusing on end-to-end ML solutions and robust evaluation methodologies.

You will design datasets, benchmarks, and metrics to measure model and product performance, and apply rigorous testing to LLM-based systems, RAG applications, and safety-focused components.

Formación

• 5+ years of experience in machine learning engineering or a related field.
• Strong understanding of machine learning fundamentals and model evaluation.
• Strong Python programming skills and experience with PyTorch, TensorFlow, or JAX.
• Understanding of retrieval-augmented generation (RAG), agentic systems, and LLM safety concepts.
• Experience training, fine-tuning, or adapting machine learning models.
• Experience working with Large Language Models beyond simple API integration.
• Experience evaluating AI systems and translating results into actionable recommendations.
• Experience building and maintaining machine learning systems and pipelines.
• Ability to work effectively in ambiguous problem spaces with incomplete requirements and limited data.
• Strong written and verbal communication skills.

Responsabilidades

• Own machine learning projects from problem definition through implementation.
• Design and implement 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 programming

Machine learning

Model evaluation

Communication skills

ML deployment pipelines

Herramientas

PyTorch

TensorFlow

JAX

Descripción del empleo

Grid Dynamics Granada is seeking a Senior Machine Learning Engineer to lead development of LLM systems and evaluation. You will own projects from problem definition to implementation, focusing on end-to-end ML solutions and robust evaluation methodologies.

You will design datasets, benchmarks, and metrics to measure model and product performance, and apply rigorous testing to LLM-based systems, RAG applications, and safety-focused components.