Job description

Global Marketing Graduate AI & Data Intern Data Science, Data Engineering, ML Engineering, and Machine Learning Operations (MLOps) are all necessary practices that work together to enable companies to answer their most urgent business questions. Pioneering massively parallel data-intensive analytic processing and now agentic AI, our team’s mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with top academics, industry experts, and highly skilled engineers to equip our internal teams to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Master’s Intern on our Marketing team in Round Rock, Texas. Based on your skillsets and business needs, the role will be in either Data Science, Data Engineering, Machine Learning (ML) Engineering, or Machine Learning Operations (MLOps) within the Marketing team. What you’ll achieve: As an intern, you will be part of our Marketing organization, spearheading Dell Technologies’ Digital Transformation by driving innovation in the way we deliver advanced Artificial Intelligence and Machine Learning technology that can help us better optimize our customer experience and business outcomes. This internship will merge data science, data engineering, and cutting-edge software engineering practices to build and deploy machine learning models at scale. Projects will contribute to delivering predictions and recommendations for marketing and sales stakeholders at scale. Take the first step towards your dream career. Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements : • For Data Science roles: Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and statistical modelling. Solid problem-solving skills and essential knowledge of probability and statistics. Foundational knowledge of statistical modelling techniques and methods (Decision Tree/Regression based methods etc.). • For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus. • For ML Engineering roles : Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts. • For MLOps roles: Experience with general-purpose programming languages (such as Python, C or Java), container engines (Docker or Podman), and Linux distributions (Ubuntu, CentOS, etc.). Exposure to any DevOps/MLOps tools, such as Jenkins, Azure DevOps, or MLflow, is a plus. • University projects/research, Kaggle competitions, Online courses/MOOCs, related internships is a plus. Desirable Requirements: • Working towards an M.S. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Economics, or related quantitative or computational fields • Graduation Date: December 2027 or Spring 2028 Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Compensation Dell is committed to fair and equitable compensation practices. The pay range for this position is $31.88-$50.00 Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Essential Requirements: · For Data Science roles: Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and statistical modelling. Solid problem-solving skills and essential knowledge of probability and statistics. Foundational knowledge of statistical modelling techniques and methods (Decision Tree/Regression based methods etc.). · For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus. · For ML Engineering roles: Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts. · For MLOps roles: Experience with general-purpose programming languages (such as Python, C or Java), container engines (Docker or Podman), and Linux distributions (Ubuntu, CentOS, etc.). Exposure to any DevOps/MLOps tools, such as Jenkins, Azure Dev

Requirements

Must-haves

Global Marketing Graduate AI & Data Intern
Join us to do the best work of your career and make a profound social impact as a Master’s Intern on our Marketing team in Round Rock, Texas.
Based on your skillsets and business needs, the role will be in either Data Science, Data Engineering, Machine Learning (ML) Engineering, or Machine Learning Operations (MLOps) within the Marketing team.
This internship will merge data science, data engineering, and cutting-edge software engineering practices to build and deploy machine learning models at scale.
Projects will contribute to delivering predictions and recommendations for marketing and sales stakeholders at scale.
Take the first step towards your dream career. Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
For ML Engineering roles : Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts.
Working towards an M.S. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Economics, or related quantitative or computational fields
Graduation Date: December 2027 or Spring 2028
For ML Engineering roles: Experience in Python, Java and/or C++. Basic knowledge of APIs, distributed processing methods, and introductory machine-learning concepts.

Nice-to-haves

For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus.
University projects/research, Kaggle competitions, Online courses/MOOCs, related internships is a plus.
For Data Engineering roles: Experience with SQL, Python, relational databases, and JSON. Basic knowledge in data modelling. Exposure to distributed-processing methods. Exposure to Apache Spark is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonsqljavadockerazure

Platform: oracle-cloud
Effort: medium