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 leading positions in digital, cloud, data, advanced computing, and security, it offers deep expertise across industries in more than 47 countries. With 47,000 talented professionals, Eviden combines high-end technologies to expand the possibilities of data and technology now and in the future.
Eviden is seeking an R&D Software Engineer to join our dynamic R&D MLOps Team and play a key 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 improve 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.
* Implement MLOps Pipelines: Set up and maintain CI/CD pipelines with GitHub Actions, automating processes from training to deployment.
* Optimize MLOps Workflows: Develop and maintain workflows for model versioning, monitoring, lifecycle management, and troubleshooting.
* Document & Share: Write technical reports on methodologies, challenges, and outcomes, and contribute to team knowledge sharing.
What We're Looking For:Education
BS, Master's, or PhD in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or related fields.
Skills:
* Over 3 years of experience with Python in AI/ML contexts.
* Over 3 years of deploying containerized applications with Docker and Kubernetes, including AI/ML models.
* At least 2 years of hands-on experience with MLOps tools like Kubeflow, MLflow, or similar.
* Experience with version control (Git/GitHub/GitLab) and software configuration management best practices.
* Advanced Linux environment skills.
* Proficiency in English (B2 or higher).
Bonus Skills:
* Familiarity with Machine Learning frameworks and Generative AI model deployment using vLLM.
* Experience in data analytics and large-scale AI systems.
* Participation in European research projects.
Competencies:
* Fluent in English.
* Good writing and presentation skills.
* Strong soft skills: communicative, enthusiastic, collaborative, proactive, self-driven.
* Quick learner of new technologies.
* Flexible work schedule with benefits like half-day Fridays and an intensive summer workday.
* Commitment to learning and growth in AI and MLOps in a supportive environment.
Let's grow together.
#J-18808-Ljbffr