Artificial Intelligence / Machine Learning Engineer – Level 2 (Intern / Apprentice Equivalent)

Care IT Services Inc
Austin, US
HybridCareer-pivot friendly

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • evaluate emerging AI trends
  • support Proof of Concept efforts
  • develop AI/ML models
  • design data and AI pipelines
  • create reports and presentations
Typical background
1-3 years of academic or entry-level experience in AI, Data Science, Software Engineering

Transferable backgrounds

  • Coming from AI/ML
  • Coming from data science
  • Coming from software engineering

Skills & requirements

Required

PythonObject-oriented ProgrammingGit/version ControlData ProcessingBasic Model Development

Preferred

AirflowPrefectCloud-native Data Pipeline ToolsREST ApisModel Deployment ConceptsDocker/containerizationCI/CDModel Monitoring/versioning

Stack & domain

PythonObject-oriented ProgrammingGitVersion ControlData ProcessingAnalysisBasic Model DevelopmentSoftware Development LifecycleTesting ConceptsAirflowPrefectCloud-native Data Pipeline ToolsRest ApisModel Deployment ConceptsAWSAzureGoogle Cloud PlatformOci Cloud PlatformsDockerContainerization ConceptsCI/CDModel Monitoring/versioningAIMachine LearningApplied Analytics

About the role

Original posting from Care IT Services Inc

Job Title: Artificial Intelligence / Machine Learning Engineer – Level 2 (Intern / Apprentice Equivalent)

Location: Austin, TX (Hybrid)

Duration: 12 Months

Job Description:

The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry-level AI talent in support of TxDOT’s AI Strategic Plan.

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 integrating with existing systems
  • Create reports, analyses, and presentations to communicate findings and outcomes
  • Collaborate with data engineering, software development, governance, and analytics teams

Required Qualifications:

  • 1–3 years of academic, internship, or entry-level experience in AI, Data Science, Software Engineering, or related fields
  • Proficiency in Python
  • Familiarity with object-oriented programming concepts
  • Experience with Git/version control
  • Exposure to data processing, analysis, and basic model development
  • Understanding of software development lifecycle and testing concepts

Preferred Skills:

  • Familiarity with Airflow, Prefect, or cloud-native data pipeline tools
  • Understanding of REST APIs and model deployment concepts
  • Exposure to AWS, Azure, Google Cloud Platform, or OCI cloud platforms
  • Knowledge of Docker/containerization concepts
  • Understanding of CI/CD fundamentals and model monitoring/versioning

Education:

  • Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
  • Strong interest in Artificial Intelligence, Machine Learning, and Applied Analytics

If interested, please share your updated resume along with contact details.

Source: Care IT Services Inc careers

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