Artificial Intelligence/Machine Learning Engineer 2 - Intern

About US: Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private &public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems. Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)! Tryfacta is certified by the Joint Commission for Healthcare Staffing Services & has numerous ISO Certifications that capture our commitment to continuous improvement. Job Summary: Tryfacta is seeking a Artificial Intelligence/Machine Learning Engineer 2 - Intern for our client in 6230 E Stassney Ln, Austin, TX 78744. This is a temporary contract assignment. If you meet the qualifications listed below and are interested, please Apply Now! • Artificial Intelligence/Machine Learning Engineer 2 - Intern • Max Hourly Rate: 50 • Total Hours: 2080 hours • Service Term Expected: 12-month duration •Work hours and Location: 8AM – 5PM, 6230 E Stassney Ln, Austin, TX 78744 • 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 Tryfacta is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.