Artificial Intelligence Engineer

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 looking for Artificial Intelligence engineer

Responsibilities:

• Design, develop, and maintain building blocks for the management of Machine Learning Operations (MLOps) pipelines.
• Research about new AI techniques, with a focus on federated learning.
• Research about mechanisms to improve the trustworthiness of AI solutions.
• Development of Machine Learning models to be used in concrete applications.
• Automate deployment pipelines for continuous integration and delivery (CI/CD).
• Participation in technical tasks within national and international Research and Innovation projects, having to interact and collaborate with other companies, research centres and universities.
• Keep updated with the latest software development and AI practices, frameworks, and technologies to continually improve our product offerings.

Education:

• Requires a BS, Master, or PhD degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering, Big Data, Artificial Intelligence or other related disciplines.

Essential knowledge and professional experience:

• Experience with data analytics and Machine Learning.
• Experience with scripting and programming languages such as Python or C/C++.
• Knowledge about data analytics and Machine Learning frameworks like Tensorflow/Keras, PyTorch, or scikit-learn.
• Ability to work with software configuration management tools such as GitHub or GitLab.
• Knowledge of Continuous Integration/Delivery/Deployment
• Experience with Docker and Kubernetes.
• Advanced experience working with Linux.

Additional knowledge:

• AI platforms: Kubeflow, MLFlow or similar.
• Participation in research projects.

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Competences:

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

#Eviden

Let’s grow together.