Certificación: Professional Machine Learning Engineer
Google Inc.
1600 Amphitheatre Parkway Mountain View, CA 94043
A Professional Machine Learning Engineer designs, builds, and productionizes ML models to solve business challenges using Google Cloud technologies and knowledge of proven ML models and techniques. The ML Engineer considers responsible AI throughout the ML development process, and collaborates closely with other job roles to ensure long-term success of models. The ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics interpretation. The ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models, the ML Engineer designs and creates scalable solutions for optimal performance.
- More than two years of education or training after high school required?
- Yes
- More than two years of work experience required?
- Yes
- Oral or Written Exam Required?
- Yes
- Renewal Required?
- Every 2 Year(s)
- Renew through Continuing Educational Units(CEU)?
- No
- Renew through Re-Examination?
- Yes
- Renew through Continuing Professional Development(CPD)?
- No
- Does applicant have choice of at least two options from above for renewal (CEU, CPD, or exam)?
- No
Online Exam; Third Party Exam Center
Exam delivery method:
a. Take the online-proctored exam from a remote location
b. Take the onsite-proctored exam at a testing center
Producto/equipo
Un producto o equipo de pruebas de certificación para el conocimiento sobre el uso de software privativo o productos de hardware. Esta clasificación se utiliza principalmente para computadoras empresas como IBM, Cisco, HP, etc.
- Esta certificación se considera en demanda.
- Esta certificación está relacionada con las especialidades ocupacionales militares.