R&D Machine Learning Engineer

hace 6 días


Madrid, Madrid, España Exus A tiempo completo

At EXUS AI Labs, we are seeking a highly skilled R&D Machine Learning Engineer (Mid) to join our team of experts in designing and developing robust and trustworthy AI solutions.

We are a multidisciplinary team of Engineers, Data Scientists, and innovation management Experts that excel in driving innovation in software engineering, A.I., and data analytics, to foster advances in key sectors such as banking, security, health, finance, creativity, and lifelong learning.

Our department is working on numerous large-scale Research and Innovation Projects in various sectors such as Security (Physical and Digital), Health, and Creativity.

As a R&D Machine Learning Engineer (Mid), you will be responsible for:

  • Technical Project Management, including project effort allocation, task planning, and participation in calls and meetings.
  • Defining technical specifications and designing architectures for projects.
  • Applying Machine Learning algorithms and techniques, building and maintaining end-to-end solutions.
  • Collaborating with data scientists and software engineers to build and maintain data and model pipelines.
  • Providing solutions to technical-related issues during a project's lifecycle.

Requirements:

  • BSc degree in Computer Science, Mathematics, or a similar field.
  • MSc degree will be highly appreciated.
  • Proven working experience of 3 to 5 years in application development project(s).
  • Good knowledge of mathematics, probability, statistics, and computational algorithms.
  • Proven experience and competence in software engineering and design.
  • Good understanding of data structures, data modeling, and software architectures.

Preferred Skills:

  • Expertise in data analysis and visualization.
  • Proven experience in Python.
  • Familiarity with machine learning frameworks and libraries (e.g., PyTorch, TensorFlow, pandas, scikit-learn).
  • Good knowledge of Git.
  • Experience with REST-API design and implementation.

We offer a fully remote work setup, competitive salary, inclusive work environment, well-being program, clear induction program, and a mentoring buddy to help you succeed in your role.

Apply now to become a part of our team and contribute to the development of innovative AI solutions that make a positive impact on society.



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