Cloud and AI Infrastructure Architect

## Full Description

Responsibilities and Expectations

The Data/AI Engineer will be responsible for building and optimizing data pipelines, developing AI models, deploying solutions on cloud platforms, and ensuring that systems are scalable and secure. This role requires a deep understanding of data engineering, machine learning, and cloud infrastructure, alongside the ability to collaborate effectively with teams across the organization.

### Key Performance Indicators (KPIs)

- Develop and deploy AI/ML models that meet business requirements.

- Design and deploy data pipelines that meet scalability and performance requirements.

- Collaborate with cross-functional teams to deliver AI-powered solutions that meet client expectations.

### Skills and Qualifications

- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

- Minimum of 3 years of experience in data engineering, AI/ML model development, or a similar role.

- Proven experience in designing and deploying data pipelines and AI models.

- Strong understanding of data governance, security, and compliance requirements.