MLOps Engineer
Madrid, ES
About Atos Group
Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.
The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
We are searching for an MLOps Engineer to join Bull’s R&D team, where we design and build next generation AI and information technologies. In this role, you will work across AI engineering, infrastructure, and automation, developing scalable AI solutions and enabling efficient end to end machine learning workflows (including Generative AI models and LLMs).
Responsibilities
- Design, develop, test, and document software components for AI and MLOps systems that improve scalability, reliability, and performance.
- Prepare and containerize AI applications for deployment using Docker and Kubernetes, ensuring strong performance in production environments.
- Configure and maintain CI/CD pipelines (GitHub Actions) to automate processes from model training to deployment.
- Develop and maintain MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.
- Write technical reports that describe methodologies, challenges, and results, and contribute to internal knowledge sharing.
Education
- BS, Master, or PhD in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or other related fields.
Skills & Competencies
- 3+ years of experience with Python in AI or machine learning contexts.
- 3+ years of experience deploying containerized applications using Docker and Kubernetes (including AI or ML models).
- 2+ years of experience with MLOps platforms such as Kubeflow, MLflow, or similar tools.
- Experience using version control systems (Git, GitHub, GitLab) and applying configuration management best practices.
- Experience using vLLM to deploy LLMs and build agentic workflows.
- Strong experience working in Linux environments.
- Excellent communication, coordination, and problem solving skills.
- Proactive, self driven, detail oriented, and eager to learn new technologies.
- English proficiency (B2 or higher) for collaboration in international teams.
Nice to have:
- Experience with data analytics and large scale AI systems.
- Previous involvement in European research projects.
Location: Spain
Benefits
- Flexible Work Schedule: Half day Fridays and an intensive summer workday supporting work life balance.
- Learning and Growth: Opportunities to work with advanced AI technologies in an innovative and supportive R&D environment.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
Choose your future. Choose Atos.