Monitoring Engineer, hibrido

Oliver Bernard; Madrid; Híbrido; EUR 63.000 - 75.000; Jornada completa

Descripción de la vacante

A fast-growing startup in Madrid is looking for an AI Engineer to develop innovative solutions and improve user experiences using advanced AI techniques. The ideal candidate has over 4 years of experience in machine learning and is skilled in Python and SQL. This position offers a flexible hybrid working model, requiring only 2 days onsite weekly.

Formación

• Over 4 years of hands-on experience as an ML Engineer.
• Strong foundation in model development and production deployment.
• Experienced across the full MLOps lifecycle.

Responsabilidades

• Design and prototype innovative AI solutions.
• Build personalized user experiences using AI and machine learning.
• Improve intelligent search and monitoring systems.

Conocimientos

Python

SQL

Machine Learning

Deep Learning

Probabilistic Modeling

Descripción del empleo

AI Engineer - Startup - Madrid | €75,000

Office policy - 2 days onsite weekly

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.

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.

Strengthen data-driven operations by improving intelligent search, monitoring, and evaluation systems, ensuring high-quality performance and continuous model improvement.

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; 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.

Madrid, Spain - flexible hybrid working