AI Engineer - Startup - Madrid | €75,000

Oliver Bernard; Madrid; Híbrido; EUR 60.000 - 75.000; Jornada completa

Descripción de la vacante

A fast-growing startup in Madrid is looking for an AI Engineer to design and prototype innovative AI solutions. The role involves using advanced machine learning techniques to create personalized user experiences and develop systems that enhance collaboration between people and AI. This position requires over 4 years of experience and strong skills in Python and SQL. Join a dynamic team to make a significant impact in the tech world.

Formación

• Over 4 years of hands-on experience as an ML Engineer.
• Strong foundation in model development and production deployment.
• Well-versed in deploying machine learning models.

Responsabilidades

• Design and prototype innovative AI solutions.
• Use advanced AI and machine learning techniques.
• Develop tools that boost collaboration between people and AI.

Conocimientos

Python

SQL

Machine Learning

Data-Driven Analysis

Model Deployment

Descripción del empleo

AI Engineer - Startup - Madrid | €75,000

Salary: €60,000 – 75,000

Location: Central Madrid

Office policy: 2 days onsite weekly

Overview

A fast-growing startup reshaping how businesses understand and manage their cloud costs. Combining deep technical knowledge with a data‑driven approach, they help engineering and finance teams gain real visibility and control over their cloud spending. Their platform and advisory services are trusted by some of the world’s most forward‑thinking companies to make smarter, faster, and more efficient decisions about how they use the cloud. The goal? To make life easier—whether that’s scheduling, researching, or executing tasks—through seamless human‑AI collaboration.

What you will do

• Design and prototype innovative AI solutions that shape the company’s user experience and overall product direction.
• Use advanced AI and machine learning techniques to build personalized user experiences and intelligent recommendation systems.
• Develop tools and frameworks that boost the efficiency of human copilots, enhancing collaboration between people and AI systems.
• Automate complex workflows by applying technologies across the AI spectrum, from traditional ML models to cutting‑edge LLM agents and RAG pipelines.
• Strengthen data‑driven operations by improving intelligent search, monitoring, and evaluation systems, ensuring high‑quality performance and continuous model improvement.

What Makes a Great Candidate

• Over 4 years of hands‑on experience as an ML Engineer, with a strong foundation in both model development and production deployment.
• Skilled in Python and SQL, with proven ability to design and implement scalable ML solutions using techniques like GLMs, Gradient Boosting, Deep Learning, and Probabilistic Modeling; experience in recommender systems is a plus.
• Well‑versed in deploying machine learning models through both online APIs and offline batch pipelines, ensuring reliable, production‑ready performance.
• Experienced across the full MLOps lifecycle, including experiment tracking, model monitoring, and performance optimization in live environments.
• Possesses strong business and product sense, combined with solid understanding of the LLM ecosystem — including key model architectures, prompt engineering, evaluation, and tool integration.

If you are a skilled AI Engineer in Madrid who enjoys solving challenging problems in a fast‑paced environment then this could be a great fit. Join the team to make a difference today.

If this is of interest please apply or reach out to