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

• Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value

• 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

Minimum Yrs of Experience, Skills, and Qualifications

Level & Experience Alignment

Level 2 (Intern / Apprentice Equivalent):

• 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

Minimum Qualifications, Skills, and Experience

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

Preferred Skills and Qualifications:

• Familiarity with one or more of the following (hands on or academic):

o Data pipelines (e.g., Airflow, Prefect, or cloud native equivalents)

o Model deployment concepts (e.g., REST APIs, serverless patterns)

o Cloud platforms or AI services (AWS, Azure, GCP, OCI)

o Containerization concepts (Docker)

o CI/CD fundamentals

o Monitoring or model versioning concepts

Technical Skills (Foundational / Developing)

• Proficiency in Python

• Familiarity with object oriented programming concepts

• Experience with version control (Git)

• Exposure to data processing, analysis, and basic model development

• Understanding of basic software development and testing concepts

Infojini Inc

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Entry level Artificial Intelligence/Machine Learning Engineer