Part-Time AI Engineer Intern – GenAI & NLP

Healthesystems

Baton Rouge (LA)

Remote

USD 19,000 - 28,000

Part time

3 days ago
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Benefits offered by this job

Healthcare coverage
PTO & holidays
401(k)
Life insurance
Wellness resources

Job summary

Healthesystems is offering a part-time, 12–16 week internship focused on developing and deploying AI models. The role blends data science, ML, and software engineering to create AI applications such as NLP and genAI solutions.

Interns will work under senior leadership to design models, process data, and deploy solutions. The program emphasizes ethical AI, collaboration with cross-functional teams, and hands-on experience in model deployment, monitoring, and documentation from a home office

Qualifications

  • Enrolled in a Bachelor's degree program at a four-year college or university; preferred in Statistics, Mathematics, CS or Business fields.
  • Experience with Gen AI/ML models, APIs/SDKs, and AI applications is a plus.
  • Familiarity with NLP, prompts, and LLM concepts is desirable.

Responsibilities

  • Design, develop, and deploy AI models and algorithms to solve problems.
  • Process and analyze large datasets for training AI models.
  • Select suitable ML algorithms for problems and ensure ethical deployment.
  • Integrate AI models into existing systems or build new ones.
  • Deploy models to production and monitor performance.
  • Collaborate with data scientists and software engineers.

Skills

Gen AI/ML
NLP
Python
Algorithms
Data processing

Education

Bachelor’s degree student

Tools

APIs
SDKs

Job description

Healthesystems is offering a part-time, 12–16 week internship focused on developing and deploying AI models. The role blends data science, ML, and software engineering to create AI applications such as NLP and genAI solutions.

Interns will work under senior leadership to design models, process data, and deploy solutions. The program emphasizes ethical AI, collaboration with cross-functional teams, and hands-on experience in model deployment, monitoring, and documentation from a home office

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