AI For the Finance Professionals by Galagedara Prabash

Author:Galagedara, Prabash
Language: eng
Format: epub
Publisher: Busybird Publishing
Published: 2024-03-24T00:00:00+00:00

1. Data scientists

Responsibilities: Design, test, develop, deploy, and maintain ML models, algorithms, and experiments.

Key skills: Deep understanding of ML algorithms, data science, and model training.

2. Data engineers

Responsibilities: Build and maintain the data infrastructure, pipelines, and data extraction processes needed for model training and deployment.

Key skills: Proficiency in data engineering, database management, and knowledge of big data technologies.

3. DevOps engineers

Responsibilities: Implement and manage continuous integration/continuous delivery (CI/CD) pipelines, automate infrastructure provisioning, and ensure the scalability and reliability of ML systems.

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