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Machine Learning Researcher

hace 2 meses


Madrid Centro, Madrid, España Atos SE A tiempo completo

At Atos SE, a global leader in digital transformation, we are seeking a highly skilled Machine Learning Researcher to join our team. As a key member of our organization, you will play a crucial role in developing and implementing cutting-edge Machine Learning and Deep Learning models for various use cases.

Key Responsibilities:

  • Design and develop Machine Learning and Deep Learning models for diverse applications.
  • Investigate the application of Federated Learning techniques to train Machine Learning models while preserving data privacy.
  • Optimize model training and inference using hardware accelerators.
  • Integrate and tailor the resulting systems in various real-world use cases.
  • Evaluate the effectiveness of these systems and improve them over time.
  • Adopt MLOps best practices and trustworthy AI standards to ensure compliance with emerging regulations and good practices.
  • Participate in European research projects.

Requirements:

  • Hold a BS, Master, or PhD degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering, or related disciplines.

Essential Skills and Experience:

  • 3+ years of experience in supervised and unsupervised machine learning.
  • Experience with data analytics and Machine Learning frameworks like TensorFlow, PyTorch, scikit-learn, Caffe2, or CNTK.
  • Proficiency in scripting and programming languages such as Python or C/C++.
  • Ability to prepare software applications for deployment using Docker and Kubernetes.
  • Experience with software configuration management tools like Git or GitLab.
  • Knowledge of Continuous Integration/Delivery/Deployment.
  • Advanced experience working with Linux.

Desirable Skills:

  • Experience with MLOps tools like Kubeflow or MLFlow.
  • Experience with Federated Learning frameworks like Flower.

Competencies:

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