Exposure to real-world machine learning and AI systems
Opportunity to work with modern tools
Supportive team culture with knowledge sharing
Good environment for building strong backend and data engineering skills
Chance to work on impactful and meaningful projects
Inconvénients
Fast-paced environment can feel overwhelming at times
Some processes and documentation could be more structured
Workload can be demanding depending on project timelines
Limited mentorship in certain advanced areas
Communication across teams can sometimes be improved