MLOps Engineer (Madrid, ES) bei Capgemini - Get The Future You Want
Capgemini - Get The Future You Want · Madrid, Spanien · Onsite
- Professional
- Optionales Büro in Madrid
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 most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide 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 are the same.
Job Description
About the Role
At Hybrid Intelligence, 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.
Job Description - Grade Specific
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.
Jetzt bewerben
