On-site role for an Artificial Intelligence/ML Engineer 2 Intern.

TalenTech Digital {Prime/Direct Vendor for the TX state (https://dir.texas.gov/contracts/dir-cpo-5574)} is looking for an Artificial Intelligence/Machine Learning Engineer 2 - Intern for the Texas Department of Transportation (TxDOT) in Austin, Texas, for a long-term contract position. ONSITE POSITION.

Kindly review the JD and let me know if you would be interested in this opportunity

JD:

Rate / Compensation Summary

W2 Hourly (no benefits):$38.91/hr

OR

C2C / 1099:$43.00/hr

OR

Compensation + Benefits:$61,624.45/yr  

 

This position requires an onsite presence 4 to 5 days per week. Candidates must reside in the Austin area and be authorized to work in the United States. Please include each candidate's current location and a copy of a redacted valid driver's license or government-issued ID with the submission. ID’s should NOT be attached to the resumes.

**If you are submitting a candidate through a subcontracting arrangement, please disclose the associated vendor. **

 

Artificial Intelligence/Machine Learning Engineer 2 - Intern

TxDOT work to be accomplished

The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry-level AI talent in support of TxDOT's AI Strategic Plan. Under supervision, the intern will:
• Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
• Contribute to the development of AI/ML models and prototype applications for prioritized use cases
• Help design and document data and AI pipelines that integrate with existing systems
• Create reports, analyses, and presentations that communicate findings and outcomes clearly
• Collaborate with data, engineering, software development, and governance teams

An AI Apprentice will also provide direct support for OnBase team in the following areas:
• Assisting in the development, configuration, and deployment of OnBase solutions, including workflows, forms, Unity scripts, and document management.
• Collaborating with senior developers and business analysts to understand business requirements and translate them into technical solutions.
• Participating in supervised testing, debugging, release validation, and documentation of OnBase applications.
• Providing end-user support and training as needed.
• Monitoring system performance and supporting intake, initial triage, troubleshooting, documentation, and resolution of routine OnBase tickets.
• Maintaining support procedures, knowledge articles, runbooks, and recurring maintenance checklists.
• Evaluating low-risk AI use cases that can improve support responsiveness and consistency.

Minimum Yrs of Experience, Skills, and Qualifications

• Typically, 1-3 years of academic, internship, or entry-level experience in AI, data science, software engineering, or a related field
• Possesses foundational knowledge of common concepts, tools, and practices
• Works under guidance using established processes and standards
• Does not typically exercise independent production decision making
Education / Learning Background
• Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
• Demonstrated interest in artificial intelligence, machine learning, and applied analytics
Technical Skills (Foundational / Developing)
• Proficiency in Python
• Familiarity with object-oriented programming concepts
• Experience with version control
• Exposure to data analysis, data migration, and basic model development
• Understanding of basic software development and testing concepts

Preferred Skills and Qualifications

Preferred (Exposure or Academic Experience is Acceptable)
• Familiarity with one or more of the following (hands-on or academic):
• Data pipelines (e.g., Airflow, Prefect, or cloud-native equivalents)
• Model deployment concepts (e.g., REST APIs, serverless patterns)
• Cloud platforms or AI services (AWS, Azure, GCP, OCI)
• Containerization concepts (Docker)
• CI/CD fundamentals
• Monitoring or model versioning concepts
Preferred for OnBase Support
• Familiarity with OnBase by Hyland, including any OnBase certifications or Hyland training modules completed
• Exposure to document management systems or enterprise content management platforms
• Experience with Microsoft SQL Server or other relational databases
• Knowledge of software development lifecycle (SDLC) and Agile methodologies

Key Attributes for Success
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly to non-technical audiences
• Willingness to learn and adapt in a fast-evolving technical environment
• Attention to detail and commitment to data quality
• Collaborative mindset and openness to mentorship and feedback

TalenTech Digital is a Northern Virginia-based IT staffing and consulting company.