AI /

Machine Learning Engineer Intern Date Posted:

13 October 2026

Closing Date:

November 12, 2026

Recruiter:

Southern Glazer's Wine&Spirits Location:

Hollywood, Florida Salary:

USD75,000

to

USD102,000

Job Type & Industry:

Data, Ai & Technology > AI, Data, Ai & Technology > Ai & Technology Governance, Data, Ai & Technology >

Machine Learning Contract Type:

Permanent Job Reference:

3019744666-2 Apply for this job now Job Description Southern Glazer's Wine & Spirits seeks a 2027 Summer Internship AI Engineer to develop data-driven solutions for wholesale distribution. You'll help design and test ML models for forecasting, routing, and sales optimization using real enterprise datasets. Working with data, IT, and business teams, you'll build prototypes in Python, analyze performance, and present insights. Gain hands-on exposure to modern AI tools, cloud platforms, and MLOps concepts in a collaborative, people-first culture that values learning, inclusion, and community impact across North America. Responsibilities Support design, training, and evaluation of AI/ML models for sales, logistics, and demand forecasting use cases in wholesale distribution Assist in data preparation, feature engineering, and model performance analysis using large operational and commercial datasets Implement and test prototypes in Python, leveraging modern ML and deep learning frameworks under senior engineer guidance Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions Help document models, experiments, and results and contribute to code reviews and best practices Build dashboards, reports, or APIs to surface AI insights to internal users across sales and operations Required Skills Python Machine learning fundamentals Data preprocessing and feature engineering SQL and relational databases Deep learning frameworks (e.g., Tensor Flow or Py Torch) Data visualization (e.g., Tableau, Power BI, matplotlib) Version control with Git Cloud platforms (e.g., AWS, Azure, GCP) Statistical analysis REST APIs or basic software engineering practices