Infojini
Artificial Intelligence/Machine Learning Engineer Intern
Austin, Texas, USA · Intern · Internship
Sponsorship not specifiedDetected 67 days ago
PythonObject-Oriented ProgrammingGitAWSGCPAzureCloud PlatformsDockerCI/CDRESTMachine LearningAirflowData EngineeringData SciencePublic Speaking
About the role
- Job Description: • The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry-level AI talent in support of AI Strategic Plan. Under supervision. Responsibilities: • 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,
Responsibilities
- The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry-level AI talent in support of AI Strategic Plan. Under supervision.
- Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value
- 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
Requirements
- Familiarity with one or more of the following (hands-on or academic):
- Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
- Proficiency in Python
- Experience with version control (Git)
Benefits
- Does not typically exercise independent production decision-making Minimum Qualifications, Skills, and Experience Education / Learning Background
- Demonstrated interest in artificial intelligence, machine learning, and applied analytics Technical Skills (Foundational / Developing)
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