Database Administrator - AI Expert

Job Role: Database Administrator - AI Expert

Location: Remote

Job Type: Full-time

Key Responsibilities:

• Administer, test, maintain, and implement database management systems in scalable, high-performance environments.
• Plan, coordinate, and execute database changes while ensuring data integrity, system availability, and minimal disruption.
• Identify, analyze, and resolve complex database performance, capacity, availability, and scalability issues.
• Design, implement, and enforce database security controls to protect sensitive and mission-critical data.
• Collaborate closely with AI, machine learning, and data engineering teams to support AI model training workflows and data pipelines.
• Provide database expertise to optimize data access, storage, and performance for AI/ML use cases.
• Document database processes, architectures, and best practices clearly and accurately.
• Communicate findings, recommendations, and technical concepts effectively through written documentation and verbal discussions.
• Serve as a subject matter expert for AI-related database requirements and ongoing AI training initiatives.

Required Skills and Qualifications:

• Proven professional experience administering, testing, and implementing database management systems.
• Strong expertise in database performance tuning, capacity planning, and scalability optimization.
• Solid understanding of database security principles, access controls, and data protection best practices.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
• Experience coordinating and implementing database changes in complex, production environments.
• Demonstrated ability to work cross-functionally with engineering, AI, or data science teams.
• Ability to work independently and effectively in a fully remote environment.

Preferred Qualifications:

• Prior experience in roles such as Database Administrator, Database Engineer, DBA Manager, or similar positions.
• Hands-on experience supporting AI/ML model pipelines, data platforms, or AI training initiatives.
• Familiarity with AI/ML workflows, data labeling processes, or model lifecycle support.
• Relevant certifications in database technologies or cloud data platforms.