Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Skills
Artificial Intelligence
Deep Learning
Generative Artificial Intelligence (AI)
Kubernetes
Machine Learning (ML)
Natural Language Processing
Modeling
Docker
Data Engineering
Analytics
Data Analysis
Statistics
Workflow
NLP
Job Details
Role: AI/ML Engineer Intern
Duration: 12+ Months
Location: Austin, TX 78744 (This role requires onsite presence 4 5 days per week. Candidates must reside in the Austin area)
Data Preparation & Integration:
- Collect, clean, and transform data from multiple sources.
- Assist with ETL pipelines and improve workflow efficiency.
Analytics & Modeling:
- Support predictive models and statistical analysis.
- Perform exploratory data analysis to generate business insights.
- Collaboration:
- Work with senior team members on projects.
- Join code reviews and contribute to documentation.
Minimum Yrs of Experience, Skills, and Qualifications
- 1-2 years of academic or internship work in data projects.
- Understanding of data engineering and analytics methods.
Preferred Skills and Qualifications
- Hands-on with machine learning frameworks and deep learning concepts (CNNs, RNNs, transformers).
- Experience with NLP libraries (spaCy, Hugging Face) and MLOps tools (Docker, Kubernetes, MLflow).
- Skilled in feature engineering for large datasets, using cloud AI services, and evaluating predictive models.
- Interest in generative AI and LLMs.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.