Sincere and Details Review For those who want to join ML1: opiniones de empleados con el puesto de Associate Data Scientist en Machine Learning 1

1,0
12 abr 2023
Recomendar
Aprobación del CEO
Perspectiva de la empresa

Ventajas

The environment is physically clean. Some seniors are very nice and friendly.

Desventajas

Very weak management Toxic environment. Warning email at any time Always Overtime without any benefits Boring stuff to do like annotation, data analysis No personal or professional growth Screen time is monitored Screenshot from screen No wifi for mobile Mobile access is forbidden No personal account login to the device work without any value like annotation Training and testing the model are already developed. No challenging work Never Trust No Respect

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4,0
5 ene 2026
Recomendar
Aprobación del CEO
Perspectiva de la empresa

Ventajas

Supportive colleagues. Great learning. Growth.

Desventajas

Low perks. Micromanagement. No training. Ever evolving policies.

5,0
21 jul 2025
Recomendar
Aprobación del CEO
Perspectiva de la empresa

Ventajas

Real-World Experience You work on actual products or client projects—not just academic tasks. Team Collaboration You learn how ML integrates with backend, frontend, and DevOps teams. Mentorship You may get to work under experienced ML engineers or data scientists. Exposure to Tools You get hands-on with industry tools like Git, Docker, MLFlow, and frameworks (PyTorch, TensorFlow, Hugging Face). Portfolio Building Your work can be added to your resume and maybe even showcased (if not under NDA). Job Opportunities Internships often lead to full-time offers if you perform well.

Desventajas

No such cons in this company

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