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ACADEMIC INTERNSHIP IN GENAI - WORKFORCE SCHEDULING

Braga - Braga

Descrição da oferta de emprego

Descripción del puesto.
(COMPANY NAME) is a European leader in cloud business management solutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors.
In today's rapidly changing world, (COMPANY NAME) & its employees make more possible by helping their customers unleash their potential thanks to innovative and purposeful business solutions.
Make more possible, is our vocation.
It reflects who we are, how and why we do things the way we do them for our clients.
Thanks to this, we can affirm that we work every day to shape your future, ours and our clients' industries' future.
A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.
Objective The objective of this internship is to build An AI-based scheduling system can use concrete criteria (hard and soft) to make intelligent assignments.
During this internship you will * Collaborate with the operations research and development teams to design and implement an AI-based scheduling system.
* Analyze current workforce planning challenges and identify key criteria for optimization, including hard criteria (e.
., qualifications, availability) and soft criteria (e.
., preferences, past performance).
* Utilize Google's OR-Tools and other AI-powered scheduling tools to develop algorithms that automate and enhance workforce scheduling.
* Integrate legal and contractual constraints into the scheduling system to ensure compliance with labor laws and company policies.
* Test and validate the AI-based scheduling system through simulations and real-world scenarios.
* Collect and analyze feedback to refine and improve the system's performance and adaptability.
* Document the development process and provide detailed reports on project progress and outcomes
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Detalhes da oferta

Empresa
  • Indeterminado
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 28/09/2024
Data de expiração
  • 27/12/2024
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