Intern - AI/ML Data Engineering - Onsite - St. Louis
On-siteSaint Louis, Michigan, United States
Saint Louis, Michigan, United StatesOn-sitePart TimeEntry LevelMasters DegreeLarge
Part TimeEntry LevelMasters DegreeLarge
Job Summary
Support the Data Engineering team by developing machine learning and AI solutions that enhance business operations, analytics, and decision-making. Assist in building data pipelines, experimenting with ML models, and contributing to initiatives like forecasting, automation, and intelligent data processing. Work closely with data engineers, analytics teams, and stakeholders to deliver proof-of-concept solutions and support the organization's growing AI/ML capabilities. This onsite role is based in St. Louis for a candidate pursuing a degree in Computer Science or Data Science with Python skills.
Required Qualifications
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering Mathematics or a related field
- Basic understanding of programming (Python preferred)
- Foundational knowledge of Statistics and machine learning concepts
- Foundational knowledge of Data analysis techniques
- No more than 2 years of professional experience (excluding internships, or positions held prior to graduation)
Desired Qualifications
- Experience with Python libraries (Pandas, NumPy, scikit-learn, PySpark)
- SQL and data querying
- Cloud platforms (Azure preferred)
- Copilot Agents
- Data visualization tools (Power BI or Tableau)
- Exposure to Machine learning models (regression, classification, clustering)
- Time series forecasting
- Data pipelines or ETL/ELT processes
- Familiarity with Git or version control
- Strong problem-solving and analytical skills
- Good communication skills with ability to explain technical findings
- Demonstrated superior academic performance and strong analytical skills
- Graduate student
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