Envié una solicitud electrónica. Acudí a una entrevista en Econet Wireless Zimbabwe (Zimbabwe) en ene 2019
Entrevista
You apply online on their careers website and then if you are and they call you, you will be given a take home assignment that you have to work on and submit your response within a week using any programming language of your choice although their main programming language is Java for backend development. After you submit you will then have to wait for their call to let you know whether you passed or not.
Acudí a una entrevista en Econet Wireless Zimbabwe (Zimbabwe)
Entrevista
The interview process at Econet typically begins with an online or phone screening to assess basic qualifications and cultural fit. Shortlisted candidates are then invited to a technical or role-specific interview, which may include problem-solving exercises or scenario-based questions. This is often followed by a panel interview with managers or team leads to evaluate communication skills, teamwork, and alignment with company values. In some cases, candidates complete assessments related to analytical ability or job-specific competencies. Final decisions are made after reference checks, and successful applicants receive an offer along with onboarding details.
Preguntas de entrevista [1]
Pregunta 1
Why should we hire you and not the other candidates?
Envié una solicitud electrónica. El proceso duró 2 semanas. Acudí a una entrevista en Econet Wireless Zimbabwe (Harare) en feb 2020
Entrevista
good and less technical , average, balanced Tracking and sensor fusion algorithms -Developing machine perception algorithms for robotics -Intergrating sensors with real-time systems -Computer vision, Bayesian filters, state estimation, probabilistic graphical models -Robotic arms -Localization -Mapping -Autonomous Navigation -Object recognition systems
Preguntas de entrevista [1]
Pregunta 1
why do you want Tracking and sensor fusion algorithms -Developing machine perception algorithms for robotics -Intergrating sensors with real-time systems -Computer vision, Bayesian filters, state estimation, probabilistic graphical models -Robotic arms -Localization -Mapping -Autonomous Navigation -Object recognition systems