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

Location: Madrid, Spain

Company

hirify.global is a wealth management company developing digital solutions through its ML & AI ART.

What you will do

• Develop, deploy, and optimize machine learning and AI solutions for complex business challenges.
• Create 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, including LLMs, and optimize AI agents and agentic workflows for production use cases.
• Test and optimize system prompts and few-shot examples, evaluate model performance, and continuously improve AI outputs.
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders; participate in code reviews, testing, and debugging.

Requirements

• Strong problem-solving, analytical, communication, collaboration, workload-management, prioritization, and time-management skills.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Strong Python programming skills with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch.
• Proven experience working with Large Language Models (LLMs), AI agents, agentic workflows, LLM orchestration frameworks, and reasoning patterns.
• Experience with data preprocessing, feature engineering, model selection, and model evaluation techniques.
• Knowledge of probability, linear algebra, optimization, and other statistical and mathematical concepts relevant to machine learning.
• Understanding of software development best practices, including version control, testing, and documentation.
• Excellent problem-solving and debugging skills, attention to detail, and commitment to reliable, maintainable code.
• Relevant work experience in machine learning, data science, or a related field.

Culture & Benefits

• Agile development environment within ML & AI ART.
• Cross-functional collaboration with platform, data engineering, data science, and other stakeholder teams.
• Continuous learning and staying up to date with advances in machine learning and artificial intelligence are valued.

Hiring process

• Submit a full job application through the online application tool.