Machine Learning Engineer 100% (f/m/d)

2 hours ago

Madrid, SpainMid Level

Responsibilities

Develop, deploy, and optimize machine learning and AI solutions for complex business challenges.
Build multi-agent systems and equip AI models with function- and tool-calling capabilities.
Design and implement RAG systems grounded in enterprise data.
Assess and integrate AI models such as LLMs for performance and reliability.
Optimize AI agents and agentic workflows for production use cases.
Test and optimize system prompts and few-shot examples for accurate, consistent, and safe outputs.
Evaluate machine learning and AI model performance using appropriate metrics, evaluation sets, and techniques.
Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate solutions into existing systems.
Participate in code reviews, testing, and debugging to maintain solution quality and reliability.

Bachelor’s or master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
Strong Python programming skills and experience with machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch.
Proven experience working with large language models.
Understanding of AI agents, agentic workflows, LLM orchestration frameworks, and reasoning patterns.
Experience with data preprocessing, feature engineering, and model selection and evaluation techniques.
Knowledge of probability, linear algebra, optimization, and other mathematical and statistical concepts relevant to machine learning.
Understanding of software development best practices including version control, testing, and documentation.
Relevant work experience in machine learning, data science, or a related field.
Strong problem-solving, analytical, communication, collaboration, debugging, prioritization, and workload-management skills.
Commitment to continuous learning and producing high-quality, reliable, and maintainable code.
Very good English; Spanish is a plus.

5,001-10,000 employees