Описание

We're seeking an experienced ML Engineer to join our Data Science team in Barcelona (Hybrid) to design and develop solutions for training and serving ML models, and Agentic applications. Become a part of our team and help us build the best AI platform possible.

Задачи Work with the Data Science team to design and develop Machine Learning and AI solutions

Participate in the design and implementation of our internal AI platform

Stay up to date with the latest developments in Machine Learning, Artificial Intelligence, and MLOps

Provide internal users with training materials and communicate new developments

Providing guidance and advice, ensure best practices are followed across the data science organization Требования Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, Physics, or other quantitative areas)

2+ years of related experience as a Machine Learning or Software engineer

Experience with Python, Java, C++ or any other object-oriented programming language

Overall understanding of the process of creating machine learning models and their life cycle

Knowledge of best practices to automate software development and ML operations; CI-CD, testing, and monitoring

Experience with Jenkins desirable

Familiarity with Agentic application development, and understanding of the general concepts

Actively use AI as part of their day to day work

Experience developing REST APIs and scalable systems

Experience working in cloud platforms, distributed systems and Docker

Familiarity with SQL databases

Written and oral communication skills in English

Будет плюсом: Javascript and / or frontend experience is a plus

Experience with Applied AI Tools:



Demonstrated comfort using practical AI tools such as Gemini, or other AI-powered assistants

Experimentation Mindset: Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into workflows

AI-Enhanced Problem Solving: Ability to effectively leverage AI tools to streamline processes, and enhance productivity

Adaptability and Learning Agility: Enthusiastic about continuously learning and quickly adapting to new AI features and capabilities Условия Prime Plus membership, competitive salary and benefits package, including versátil benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role-based selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle

Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more

Plus, enjoy a great onboarding program

Personalised career paths and the e VOLVE Program will help you discover, grow, and thrive

Internal mobility opportunities let you pursue horizontal career changes and promotions

At e DO, we value flexibility, employee care, and transparency

We offer a hybrid home-office model focused on outcome, not time-in-seat

You'll be able to find the right work-personal life balance that suits you best

Join e DO for after-work events, padel tournaments, parties, and more

Create communities based on your passions, like sports and music

Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices

You'll work in an Agile mindset environment with recognition at our core

📌 Ml Engineer In Ai Platform (Madrid)
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