Artificial Intelligence​/Machine Learning Engineer ; Hybrid

Artificial Intelligence/Machine Learning Engineer 1 (Hybrid)

Location:

Austin, TX

Duration: 12 Months with possible extension

The Client requested AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery timelines for multiple enterprise level priorities.

Candidate Skills and

Qualifications:

Minimum Requirements:

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years
- Required/Preferred
- Experience

1 - Required
- Building and deploying components of the enterprise search tool.

1 - Required
- Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.

1 - Required
- Supporting implementation and testing of AI agents aligned to business unit needs.

1 - Required
- Developing technical controls, documentation, and processes required for AI governance adoption

The Client is simultaneously advancing four major objectives:

• Implementing an enterprise search solution to improve information retrieval across DPS systems.
• Deploying the AI inventory and monitoring system (Darwin).
• Developing and operationalizing various AI agents to improve internal efficiency and public-facing services.
• Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.