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.
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:

Build AI Solutions: Design, develop, test, and document software for AI and MLOps components that enhance the scalability, reliability, and efficiency of AI products, including Generative AI models.
Streamline Model Deployment: Prepare and containerize AI applications for seamless deployment using Docker and Kubernetes, ensuring optimal performance in production environments.
Implement MLOps Pipelines: Configure and maintain Continuous Integration and Continuous Deployment (CI/CD) pipelines with Git Hub Actions, automating key processes from training to deployment.
Optimize MLOps Workflows: Develop and maintain robust MLOps workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.
Document & Share: Write technical reports detailing methodologies, challenges, and outcomes of your work, and contribute to team knowledge sharing.
What We’re Looking For:

Education:

BS, Master, or Ph D degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering or other related disciplines.
Skills:
3+ years of experience with Python, particularly in AI/ML contexts.
3+ years of experience deploying containerized applications using Docker and Kubernetes, including AI/ML models.
2+ years of hands-on experience with MLOps tools such as Kubeflow, MLflow, or similar platforms.
Experience with version control tools (Git/Git Hub/Git Lab) and best practices in software configuration management.
Advanced experience working with Linux environments.
English proficiency (B2 or higher) to communicate effectively with international teams.
Bonus Skills (Nice-to-Have):
Familiarity with

Machine Learning frameworks

and experience working on Generative AI model deployment using v LLM.
Experience in

data analytics

and large-scale AI systems.
Previous involvement 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.
Flexible Work Schedule:

Enjoy half-day Fridays and an intensive summer workday to help maintain a great work-life balance.
Learning & Growth:

Stay at the forefront of AI and MLOps technologies, with opportunities to learn and grow in a supportive, innovative environment.

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