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AI Data Science Engineer - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

As an AI Data Science Engineer at Ness, you will be working on innovative projects that leverage data science to provide valuable insights for decision-making and customer solutions.

In Short

  • Work on large-scale data projects.
  • Model and transform datasets for insights.
  • Define new metrics and build tools.
  • Develop machine learning solutions.
  • Collaborate with teams to adapt to customer needs.
  • Engage in a fast-paced work environment.
  • Access training and certification opportunities.
  • Receive attractive compensation and bonuses.
  • Work independently and creatively.
  • Join a diverse and inclusive work culture.

Requirements

  • Senior level Data Science experience.
  • Experience with standard AI mathematical models.
  • Strong communication skills.
  • Self-starter and team-oriented.
  • Ability to learn quickly.
  • Proficient in Python and TensorFlow.
  • Familiarity with statistical and predictive models.
  • Experience with cloud technologies.
  • Advanced English communication skills.
  • Willingness to learn new technologies.

Benefits

  • Access to trainings and certifications.
  • Bonuses and financial incentives.
  • Socializing activities.
  • Attractive compensation packages.
  • Diverse and inclusive work culture.

N.U

Ness USA

Ness Romania SRL is a prominent technology company that values its employees as its greatest asset. With a focus on professionalism, innovation, teamwork, and dedication to excellence, Ness has established itself as a leader in the tech industry. The company offers its staff opportunities to work on cutting-edge products and platforms for some of the most innovative software companies globally. Employees benefit from a supportive work environment that promotes career progression through collaboration with skilled professionals, access to training and certifications, and a range of attractive compensation and social activities. Ness Digital Engineering is committed to fostering a diverse, inclusive, and authentic work culture.

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