Infojini Inc
Entry Level Artificial Intelligence/Machine Learning Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Entry Level Artificial Intelligence/Machine Learning Engineer, offering a contract of unspecified length at a pay rate of "unknown." Candidates should have 1-3 years of relevant experience, proficiency in Python, and familiarity with data pipelines and cloud platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
May 16, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Austin, Texas Metropolitan Area
-
π§ - Skills detailed
#REST (Representational State Transfer) #Mathematics #Cloud #Programming #Deployment #Data Processing #REST API #Data Pipeline #Airflow #GCP (Google Cloud Platform) #ML (Machine Learning) #Data Engineering #Data Science #Computer Science #Docker #GIT #Azure #Model Deployment #Monitoring #AWS (Amazon Web Services) #Version Control #Python #AI (Artificial Intelligence)
Role description
The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry level AI talent in support of TxDOTβs AI Strategic Plan. Under supervision, the intern will:
β’ Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
β’ Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value
β’ Contribute to the development of AI/ML models and prototype applications for prioritized use cases
β’ Help design and document data and AI pipelines that integrate with existing systems
β’ Create reports, analyses, and presentations that communicate findings and outcomes clearly
β’ Collaborate with data, engineering, software development, and governance teams
Minimum Yrs of Experience, Skills, and Qualifications
Level & Experience Alignment
Level 2 (Intern / Apprentice Equivalent):
β’ Typically 1β3 years of academic, internship, or entry level experience in AI, data science, software engineering, or a related field
β’ Possesses foundational knowledge of common concepts, tools, and practices
β’ Works under guidance using established processes and standards
β’ Does not typically exercise independent production decision making
Minimum Qualifications, Skills, and Experience
Education / Learning Background
β’ Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
β’ Demonstrated interest in artificial intelligence, machine learning, and applied analytics
Preferred Skills and Qualifications:
β’ 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)
β’ Proficiency in Python
β’ Familiarity with object oriented programming concepts
β’ Experience with version control (Git)
β’ Exposure to data processing, analysis, and basic model development
β’ Understanding of basic software development and testing concepts
The AI Apprenticeship Program establishes a sustainable and governed pathway for developing entry level AI talent in support of TxDOTβs AI Strategic Plan. Under supervision, the intern will:
β’ Assist in evaluating emerging AI trends, tools, and vendor solutions against defined business use cases
β’ Support proof of concept (PoC) efforts to assess feasibility, data readiness, and potential value
β’ Contribute to the development of AI/ML models and prototype applications for prioritized use cases
β’ Help design and document data and AI pipelines that integrate with existing systems
β’ Create reports, analyses, and presentations that communicate findings and outcomes clearly
β’ Collaborate with data, engineering, software development, and governance teams
Minimum Yrs of Experience, Skills, and Qualifications
Level & Experience Alignment
Level 2 (Intern / Apprentice Equivalent):
β’ Typically 1β3 years of academic, internship, or entry level experience in AI, data science, software engineering, or a related field
β’ Possesses foundational knowledge of common concepts, tools, and practices
β’ Works under guidance using established processes and standards
β’ Does not typically exercise independent production decision making
Minimum Qualifications, Skills, and Experience
Education / Learning Background
β’ Coursework toward or completion of a degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline
β’ Demonstrated interest in artificial intelligence, machine learning, and applied analytics
Preferred Skills and Qualifications:
β’ 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)
β’ Proficiency in Python
β’ Familiarity with object oriented programming concepts
β’ Experience with version control (Git)
β’ Exposure to data processing, analysis, and basic model development
β’ Understanding of basic software development and testing concepts
