Join to apply for the MLOps Engineer role at AtosAbout EvidenEviden, 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.Position OverviewEviden is seeking an 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.ResponsibilitiesBuild 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 CI / CD pipelines with GitHub Actions, automating processes from training to deployment.Optimize MLOps workflows :
Develop and maintain robust workflows, including model versioning, monitoring, lifecycle management, and troubleshooting.Document & share :
Write technical reports detailing methodologies, challenges, and outcomes, and contribute to team knowledge sharing.What We're Looking ForEducationBS, Master, or PhD in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or related disciplines.Skills3+ years of experience with Python, particularly in AI / ML contexts.3+ years 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 / GitHub / GitLab) and software configuration management best practices.Advanced experience working with Linux environments.English proficiency (B2 or higher) for effective communication with international teams.Bonus SkillsFamiliarity with Machine Learning frameworks and experience deploying Generative AI models using vLLM.Experience in data analytics and large-scale AI systems.Previous involvement in European research projects.Fluency in English.Good writing and presentation skills.Flexible work schedule :
Enjoy half-day Fridays and an intensive summer workday.Learning & growth :
Stay at the forefront of AI and MLOps technologies with opportunities to learn and grow in a supportive environment.LocationSeniority level :
Not ApplicableEmployment type :
Full-timeJob function :
Engineering and Information TechnologyIndustries :
Computer and Network Security, IT Services, and IT ConsultingJ-18808-LjbffrJ-18808-Ljbffr
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