Work/life balance Good compensation Flexible work hours Opportunities to grow Nice work culture Continuous learning Stability in the job Good opportunities to contribute to the community
Workload not evenly distributed.
Decision-making is slow in some cases.
Lack of accountability of leadership.
Locations are complicated in terms of mobility.
The assessment is carried out in a room with several area managers who require retraining, then each prospect presents: * Their name and what school they come from * The software they handle * An important project they have participated in * Why the
I only had two interviews. The first was with Human Resources via message, where they told me about the position, salary expectations, and the process. From there, a technical test that unfortunately I could not complete successfully.
It was a somewhat tiring interview, it lasted almost 2 hours. It was completely in English with 2 engineers, both seemed to know very well what they were asking me about. They asked me questions about: * ML fundamentals * MLOps, particularly MLFlo
The assessment is carried out in a room with several area managers who require retraining, then each prospect presents: * Their name and what school they come from * The software they handle * An important project they have participated in * Why the
I only had two interviews. The first was with Human Resources via message, where they told me about the position, salary expectations, and the process. From there, a technical test that unfortunately I could not complete successfully.
It was a somewhat tiring interview, it lasted almost 2 hours. It was completely in English with 2 engineers, both seemed to know very well what they were asking me about. They asked me questions about: * ML fundamentals * MLOps, particularly MLFlo