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Ml / ai engineer (azure | mlops)

Madrid
Capitole
Publicada el 7 enero
Descripción

✨ Capitole is celebrating 10 years! We are now more than 1,000 people building an environment where talent is nurtured, recognized, and empowered to grow.


🤝 People First: trust, respect, and professional development.

📉 Employee turnover rate of just 13%, well below the industry average.

💻 Cutting-edge projects with global clients and modern technologies.

📚 Tailored training programs: up to €1,200/year per employee.

🕓 True flexibility to work your way.

💬 Monthly check-ins and annual 360º evaluations to support your growth.

🏥 Private health insurance, flexible compensation, and Wellhub for your overall wellbeing.

💡 Active tech communities to learn and share knowledge.

🎊 Amazing team events (yes, we know how to have fun too 😉).


Interested in joining us? Take a look at this opportunity 👇


We are looking for a ML / AI Engineer to join a stable project within a leading multinational company in the mobility and automotive sector, working on the development and production of AI and Machine Learning solutions with real business impact.


You will work in a technically demanding environment, collaborating closely with Data, DevOps and Platform teams, following strong MLOps, quality and scalability practices.


🎯 What will you do?


* Develop, deploy and maintain Machine Learning, GenAI and LLM solutions in production environments.
* Productionalize models following solid MLOps practices (CI/CD, automated testing, monitoring).
* Collaborate with DevOps and support teams to ensure reliable and scalable AI solutions.
* Implement data quality and model monitoring practices (drift, performance).
* Maintain high standards of code quality, version control and documentation.


🛠 What are we looking for?


* 3+ years of experience developing ML/AI solutions in production.
* Strong Python skills with a software engineering mindset.
* Solid knowledge of Machine Learning, GenAI and LLMs.
* Hands-on experience with frameworks such as TensorFlow, PyTorch or scikit-learn.
* Proven experience in MLOps: CI/CD pipelines, automated testing, deployment and monitoring.
* Experience in cloud environments, with Azure being highly valued (Databricks is a plus).
* Experience working with Git, pull requests and code reviews.
* English level: high B2 or C1.
* Analytical mindset, attention to quality and ability to work in cross-functional teams.


Location: Hybrid model: 2 days onsite in Majadahonda, 3 days remote.

Schedule: 38 hours, flexible, with reduced hours on Fridays. Intensive summer schedule.

Language: English (intermediate-fluent), Spanish (intermediate-fluent)


Want to know more? Click here 🖱️ and find out!


See what people say about us 🕵️ Glassdoor Reviews


Feel free to send us your profile, we are excited to meet you! 💙


The employee will adhere to information security policies:

-Will have access to confidential information related to Capitole and the project they are working on.

-Must comply with the security policies and internal policies of the company and the client.

-Must sign an NDA.

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