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Mlops engineer

Capgemini
65.000 € al año
Publicada el 2 noviembre
Descripción

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.


Job Description


About the Role

we are looking for an MLOps Engineer to join our team in Spain. You will work alongside a team of experts from whom you can learn and grow professionally, while contributing to the team's expansion and success.

Every project MATTERS. Are you ready to take on the challenge and grow with us?
We’re looking for you…


What will you do?

* Collaborate in a cross-functional team of data scientists, ML engineers, and software engineers to design and implement scalable machine learning infrastructure.
* Design, develop, and maintain ML pipelines, ensuring high reliability and scalability.
* Optimize and fine-tune machine learning models for deployment in high-traffic systems.
* Work closely and effectively with other teams to integrate ML models into products and services.
* Monitor and troubleshoot production ML systems to ensure smooth operation.
* Contribute to the development of MLOps best practices within the company.


What are we looking for?

* PhD or degree in Mathematics, Physics, Engineering, Computer Science, or a related technical field.
* Solid programming skills in languages such in Python and experience in object-oriented programming.
* Experience with environments such as AWS(SageMaker), Airflow (DAGs) and MLFlow.
* Strong understanding of machine learning fundamentals and best practices.
* Proven experience in scaling machine learning models for production deployment.
* Familiarity with tools like Docker, Kubernetes, CI/CD and snowflake.
* Fluent level of English and Spanish.

We offer an extensive range of training opportunities, including in-person, online, and certification courses. Even if you don't meet 100% of the required skills, we'd love to get to know you! Our commitment to inclusion and equal opportunities is reflected in our Equality Plan and Ethical Code, which guarantee professional development and equal opportunities for selection in an environment free from discrimination based on ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion, or any other personal, physical, or social circumstance.

Why You'll Love Working Here

We offer a comprehensive set of development and work-life balance benefits, including (but not limited to):

* Buddy Program to support you during your first steps with us.
* Generous time off: 24 vacation days + 2 personal days + December 24th and 31st off. You also have the option to purchase up to 7 additional vacation days per year.
* Continuous learning opportunities.
* A global DATA & AI community, where you can collaborate with experts from around the world.


Job Description - Grade Specific

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

When you join Capgemini, you don’t just start a new job. You become part of something bigger.

Learn about how the recruitment process works – how to apply, where to follow your application, and next steps.

To help you bring out the best of yourself during the interview process, we’ve got some great interview tips to share before the big day.

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