Join Our Innovative Team as a Machine Learning Researcher at Eviden by Atos!

At Eviden, part of the Atos Group, we're pioneers in digital transformation, boasting an impressive global presence with revenue approximating €5 billion annually. With a focus spanning digital, cloud, data, advanced computing, and security, our expertise covers a spectrum of industries across over 47 countries. Our collaboration unites 53,000 top-tier professionals leveraging unique technologies to expand the possibilities of data and technology for future generations.

Key Responsibilities:

• Develop Machine Learning and Deep Learning models tailored for various applications.
• Explore Federated Learning to enhance data privacy in Machine Learning training.
• Speed up model training and inference through advanced hardware accelerators.
• Customize and integrate solutions into diverse real-world scenarios.
• Evaluate and refine system performance continually.
• Implement MLOps best practices and adhere to trustworthy AI standards to stay compliant with evolving regulations.
• Participate actively in European research initiatives.

Education & Qualifications:

A Bachelor's, Master's, or PhD in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or a related field is required.

Essential Skills and Experience:

• Minimum 3 years’ experience in both supervised and unsupervised machine learning.
• Proficiency in data analytics and Machine Learning frameworks such as Tensorflow, PyTorch, scikit-learn, Caffe2, or CNTK.
• Skilled in programming languages like Python or C/C++.
• Experience preparing software for deployment using Docker and Kubernetes.
• Familiarity with software configuration management tools including Git or GitLab.
• Proficient in Continuous Integration/Delivery/Deployment practices.
• Advanced knowledge of Linux environments.
• Proficiency in English (B2 Level).

Additional Desired Skills:

• Experience with MLOps tools like Kubeflow or MLFlow.
• Knowledge of Federated Learning frameworks, especially Flower.

Core Competencies:

• Fluent English communication.
• Strong writing and presentation abilities.
• High degree of personal soft skills—communicative, enthusiastic, collaborative, proactive, and self-driven.
• Eager and quick to learn new technologies.

Exclusive Benefits:

• Flexible Fridays with half-day schedules.
• Summer hours with an intensive workday scheme.
• Customised training and upskilling opportunities.
• Flexible working hours and adaptable work arrangements.

Let's grow together and build a sustainable future! Explore this exciting Machine Learning Researcher position at Atos and be part of something groundbreaking.