Software Engineer - AI/MLOps

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is 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 53,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

• Responsibilities
  • Design, develop, test and document software to address the requirements of several components and systems in AI products.
  • Contribute to the definition and implementation of MLOps tools.
  • Prepare AI applications for their deployment using Docker and Kubernetes.
  • Configure Continuous Integration and Continuous Deployment pipelines using GitHub Actions.
  • Build processes supporting seamless MLOps (e.g., app monitoring, troubleshooting, life cycle management)
  • Write technical reports describing work done.
  • Participation in international Research and Innovation projects, having to interact with other companies, research centres and universities.

• Education
  • Requires a BS, Master, or PhD degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering or other related disciplines.

​​​​​​​

• Essential knowledge and professional experience
  • 3+ years of experience with Python.
  • 3+ years of experience preparing software applications for their deployment using Docker and Kubernetes.
  • 2+ years of experience in using MLOps tools like Kubeflow or MLFlow.
  • Ability to work with software configuration management tools such as Git or GitLab.
  • Software engineering experience, including architecture definition, infrastructures implementation and creation of data flows.
  • Advanced experience working with Linux.
  • English level B2.

​​​​​​​

• Additional knowledge
  • Experience with data analytics and Machine Learning frameworks.
  • Participation in European research projects.

​​​​​​​

• Competences
  • Fluency in English.
  • Good writing and presentation skills.
  • Strong personal soft skills sets: Communicative, enthusiastic, highly collaborative, proactive, self-driven.
  • Ability and enthusiasm to learn new technologies quickly.

​​​​​​​

• Benefits
  • Half-day Fridays.
  • Intensive workday in summer.

Let’s grow together.