Descripción del trabajo

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We are looking for a talented Senior Machine Learning Engineer - LLM Systems & Evaluation.

This is an opportunity to work on next-generation AI systems, including large language models, retrieval-augmented generation, agents, and AI safety-focused evaluation.

Essential functions:

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- 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

Qualifications:

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- 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 modern ML frameworks such as xcskxlj 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

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📌 Senior Machine Learning Engineer (Albacete)
🏢 Grid Dynamics
📍 Albacete