Senior Machine Learning Engineer

buscojobs España; País Vasco; Presencial; EUR 45.000 - 80.000; Jornada completa

Descripción de la vacante

Join a pioneering AI start-up and be part of a newly formed Machine Learning team dedicated to developing innovative AI products. This role offers a unique opportunity to work on cutting-edge technology, collaborating closely with experts in the field. You will contribute to building tools for model training and evaluation, while driving improvements in MLOps processes. With a flexible, hybrid work environment and a strong focus on professional growth, this is your chance to make a significant impact in an exciting and rapidly evolving industry. If you're passionate about AI and eager to learn, this position is perfect for you.

Servicios

Flexible work options

Supportive team culture

Professional growth opportunities

Formación

• Experience as a Machine Learning Engineer or Data Scientist with software products.
• Solid Python coding skills and expertise in cloud infrastructure.

Responsabilidades

• Build tools for model training and evaluation in AI products.
• Collaborate with Data Scientists and Engineers for production solutions.

Conocimientos

Python

Machine Learning

MLOps

Cloud Infrastructure (AWS)

Containers

MLflow

Airflow

AI SaaS

GenAI APIs

Educación

Bachelor's in Computer Science or related field

Master's in Data Science or related field

Herramientas

AWS

MLflow

Airflow

Docker

Descripción del empleo

A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation.

This is a chance to be part of a brand new Machine Learning team within one of Europe’s fastest-growing AI start-ups. They’re on a mission to develop innovative, cutting-edge AI products, pushing the boundaries of technology to deliver scalable solutions

The team is based across offices in Barcelona or Madrid and gives the chance to be at the forefront of developing the intelligence behind these AI products. You will be building tools for model training and evaluation, collaborating with Data Scientists and Engineers to get these solutions into production, and driving improvements in MLOps processes.

You’ll have worked as a Machine Learning Engineer or Data Scientist in the past, ideally centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology.

In return, you’ll be offered a supportive team culture with flexible, hybrid work options and room for professional growth.

If you're eager to contribute to cutting-edge AI projects in a confidential and fast-evolving environment, they’d love to hear from you. Click apply and be part of something transformative.