Software Engineer - AI/MLOps
Madrid, ES
Atos
We design digital solutions from the everyday to the mission critical — in artificial intelligence, hybrid cloud, infrastructure management, decarbonization and employee experience.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 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.
We are looking for a Software Engineer - AI / MLOps for the research area. We offer a position in a dynamic product-oriented team in an international environment for our Research and Innovation department to develop your carrier.
Location:
• Madrid, Barcelona, Sevilla ó Valladolid
• Hybrid-mode (possible teleworking at 60%)
- Responsibilities
- 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.
- 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.
- 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.
#Eviden
Let’s grow together.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data Analytics Docker Engineering Git GitHub GitLab Kubeflow Kubernetes Linux Machine Learning MLFlow MLOps PhD Pipelines Python Research Security
Perks/benefits: Career development
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