The AI & Data Analytics Intern will support the AI and Data Analytics initiatives by developing, testing, and refining machine learning models and data-driven solutions. Working alongside experienced engineers and analysts, the intern will contribute to real projects while building foundational skills in artificial intelligence, machine learning, and data analysis. This is a learning-focused role intended for students or recent graduates pursuing a career in AI/ML or data analytics.
SUPERVISES OTHERS\: NO
FLSA STATUS\: NON-EXEMPT
COMPENSATION\: $35.00 per hour
ESSENTIAL FUNCTIONS
Assist in building, testing, and evaluating machine learning models under the guidance of senior engineers.
Support data cleaning, transformation, and analysis for AI/ML projects.
Help prepare and organize datasets used in model development and testing.
Participate in code reviews and team discussions to build technical and collaborative skills.
Research and summarize emerging AI/ML trends and tools relevant to HCAA’s operations.
Document your work clearly and present findings to the team at the end of the internship
This list is not intended to be all-inclusive, and you may not be responsible for every item listed. The employer reserves the right to assign additional functions and responsibilities as necessary.
COMPETENCIES
REQUIRED FOR ALL HCAA JOBS
QUALIFICATIONS (EDUCATION, EXPERIENCE, LICENSES & CERTIFICATIONS)
Education- Currently pursuing or recently completed a bachelor’s or master’s degree in computer science, data science, software engineering, or a related field.
Experience- Relevant coursework, academic projects, research, hackathons, or prior internships involving AI/ML, data analysis, or software development. Experience on projects involving big data processing and distributed computing frameworks (e.g., Apache Spark, Hadoop or other cloud-native alternatives) is a plus.
Or equivalent combination of education, training, and experience.
Must possess a valid Florida Driver's License.
REQUIRED FOR ALL INTERN JOBS
KNOWLEDGE, SKILLS, AND ABILITIES
Foundational understanding of machine learning concepts (e.g., supervised, and unsupervised learning; exposure to deep learning is a plus)
Working knowledge of Python required; familiarity with R, JavaScript, or other languages is a plus.
Exposure to machine learning frameworks such as TensorFlow or PyTorch (coursework or personal projects count)
Interest in cloud platforms such as Azure or GCP; prior professional experience not required.
Familiarity with data concepts such as data pipelines, data integration, or data cleaning and transformation.
Comfort working with datasets and a willingness to learn data wrangling techniques.
Strong analytical curiosity and creative problem-solving mindset
Ability to clearly document and present your work to teammates and managers.
PHYSICAL ABILITIES
Sitting up to 6 hours per day
Occasional lifting, up to 20 Ibs.
Occasional bending, stooping, pushing, pulling & dragging
Continuous typing
The Hillsborough County Aviation Authority-Tampa International Airport provides equal employment opportunity to all persons, regardless of age, race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, sexual orientation, membership, or non-membership in an employee organization, or based on personal favoritism or other non-merit factors.
The Hillsborough County Aviation Authority-Tampa International Airport welcomes and encourages applications from minorities, veterans, and persons with physical and mental disabilities, and will reasonably accommodate the needs of those persons in the application, testing and hiring process. The decision to grant reasonable accommodation requests will be made case-by-case.
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