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R&D Software Developer

Atos SE

Madrid

Presencial

EUR 40.000 - 80.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

An innovative digital business is seeking a talented R&D Software Engineer to join their MLOps Team. This role is pivotal in developing cutting-edge AI technologies and involves designing, testing, and documenting software for an advanced AI/MLOps platform. You'll work with modern tools like Docker, Kubernetes, and GitHub Actions, ensuring high software quality through rigorous testing. The company offers a dynamic environment with opportunities for personalized training and flexible working arrangements. If you are passionate about AI and eager to contribute to transformative projects, this is the perfect opportunity for you.

Servicios

Personalized training and upskilling program
Flexible working hours
Intensive workday in summer

Formación

  • 3+ years of experience in Python or Go programming.
  • Proficiency with version control tools like Git or GitLab.

Responsabilidades

  • Design and develop software for an AI/MLOps platform.
  • Integrate and deploy open-source AI applications using Docker and Kubernetes.

Conocimientos

Python programming
Go programming
Kubernetes
Linux environments
Communication skills
Proactive attitude

Educación

Bachelor’s in Computer Engineering
Master’s in Telecommunications Engineering
Ph.D. in Electrical Engineering

Herramientas

Docker
GitHub Actions
Git
GitLab
Kubeflow
MLFlow

Descripción del empleo

Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Eviden is searching for a R&D Software Engineer to join our dynamic R&D MLOps Team and play a pivotal role in shaping the future of information and AI technologies.

Responsibilities
  1. Design, develop, test, and document software to introduce new features in an AI/MLOps software platform.
  2. Ensure compliance with non-functional requirements, such as cybersecurity, maintainability, and performance.
  3. Integrate and deploy open-source AI applications (e.g., Kubeflow, MLFlow, vLLM) using Docker and Kubernetes.
  4. Set up and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines with GitHub Actions.
  5. Write unit and integration tests to ensure high software quality.
  6. Review and provide feedback on Pull Requests from team members.
  7. Develop use-case examples (e.g., Generative AI, Computer Vision) to showcase platform capabilities.
  8. Prepare technical reports to document progress.
Education
  1. Bachelor’s, Master’s, or Ph.D. in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or a related discipline.
Essential Knowledge and Professional Experience
  1. 3+ years of experience in Python or Go programming.
  2. 3+ years of experience working with Kubernetes.
  3. Proficiency with version control tools like Git or GitLab.
  4. Hands-on experience with GitHub Actions for CI/CD.
  5. Advanced expertise in Linux environments.
Additional Knowledge
  1. Experience with Kubeflow or MLFlow.
  2. Familiarity with cloud platforms like Google Cloud or similar services.
  3. Knowledge of data analytics and Machine Learning frameworks.
  4. Fluency in English.
  5. Good writing and presentation skills.
  6. Strong personal soft skills sets: Communicative, enthusiastic, highly collaborative, proactive, self-driven.
  7. Ability and enthusiasm to learn new technologies quickly.
Location

• Must be legally authorized to work in Spain and base in Spain mandatory.

• Intensive workday in summer.

• Personalized training and upskilling program.

• Flexible working hours and ways of working.

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