R&D Computer Scientist — ML & Data Innovation

AlSafe Finance Kuwait

Porto

Presencial

EUR 9586 - 11 482

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Competitive salary
Opportunity for growth
Dynamic work environment
Flexible working hours
Relocation assistance

Resumo da oferta

AlSafe Finance Kuwait is looking for a Computer Research Scientist responsible for research and developing innovative solutions in computer science. This role requires a strong understanding of software development, data analysis, and a passion for learning new technologies.

Located in Porto, Portugal, the position offers a competitive salary of $1100 per month, flexible working hours, and opportunities for growth. We welcome candidates of all nationalities, providing relocation assistance for non-local applicants.

Qualificações

  • Strong understanding of computer systems and software development.
  • Experience with data analysis tools such as R or MATLAB.
  • Familiarity with machine learning algorithms and techniques.

Responsabilidades

  • Conduct research on emerging technologies in computer science.
  • Develop algorithms and software applications to solve complex problems.
  • Collaborate with team members to design and implement solutions.

Conhecimentos

Programming languages (C++, Java, Python)
Data analysis tools (R, MATLAB)
Machine learning algorithms
Problem-solving skills
Communication skills

Formação académica

Bachelor's or Master's degree in Computer Science

Descrição da oferta de emprego

AlSafe Finance Kuwait is looking for a Computer Research Scientist responsible for research and developing innovative solutions in computer science. This role requires a strong understanding of software development, data analysis, and a passion for learning new technologies.

Located in Porto, Portugal, the position offers a competitive salary of $1100 per month, flexible working hours, and opportunities for growth. We welcome candidates of all nationalities, providing relocation assistance for non-local applicants.

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