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.