Career Details

Professional Machine Learning Engineer

Description

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.

Certifying Organization

Google Inc.

Details

If significant education or training is needed? Yes

If significant work experience is needed? Yes

Is an exam required? Yes

How many years until certification must be renewed? 2 year(s)

Certification can be renewed with Continuing Education Units? No

Certification can be renewed with re-examination? Yes

Certification can be renewed with Continuing Professional Development? No

Certification can be renewed in multiple ways? No

Certificates

Certificate name

Data Services Specialization

Certifying Organization

Medical Library Association

Type

A - Core

Certificate name

SAP Certified Application Associate - Data Integration with SAP Data Services 4.2

Certifying Organization

SAP America, Inc.

Type

D - Product/Equipment

Certificate name

Professional Data Engineer

Certifying Organization

Google Inc.

Type

D - Product/Equipment

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