Aufgaben

About Us

Mercedes-Benz is USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.

Department Overview

The Digital Customer Experience Team (ITS/ND) support & executes our MBUSA Digital Customer domains & their respective product digitalization targets. We ensure stables, secure & compliant operations & deliver modernized, scalable solutions that support current/future business needs.

Job Overview

This position will collaborate with Data Engineers and Data Scientists to assist in building data and model pipelines and help run machine learning tests and experiments and assist in managing the infrastructure and data pipelines needed to bring ML solutions to production. You will also be assisting with Big Data Projects using multiple types of structured and unstructured data. During your internship, you will learn about the whole life cycle of model building for solving real-world complex problems.

Responsibilities:

Develop the CDP strategic milestones & manage the team responsible in successfully delivering to the operational targets defined.
Deliver dealer data driven business models to integrate the CDP use cases
Enlist and foster a comprehensive and a highly collaborative working relationship between IT teams and the business partners to understand project dependencies and the bigger picture.
Engage with cross-functional support teams (Legal, Marketing, Digital House…) to ensure alignment of activities.
Facilitate the support of the internal & external stakeholders that require data integration through a consolidated MBUSA dealer data governance strategy.
Support the project/use cases planning, allocation to meet financial needs for the CDP Products and evaluate future CDP personalization opportunities.

Qualifikationen

Qualifications / Education:

To qualify for this internship opportunity, you must be a rising junior, senior enrolled in in a Bachelor's program.

Preferred concentration of study: Computer Science, Engineering, Mathematics, Statistics, or related field with a focus on Machine Learning and Deep Learning

Qualifications

Proficiency in machine learning model development, with a focus on model deployment and serving in real-world applications.
Experience in containerization technologies like Docker and deployment to cloud platforms (e.g., AWS, Azure, GCP).
Strong coding skills in Python and the ability to integrate machine learning models into production systems.
Understanding of monitoring and maintaining deployed models, ensuring scalability, reliability, and performance in production environments.
Familiarity with cloud ecosystem (Azure Cloud, Hive, Spark, Kafka)
Familiarity with modern software development practices (Git, JIRA, CI/CD methods, MLOps)
An analytical mind and inclination for problem-solving
Strong verbal and written communication skills

Additional Information

During this 8-10 week summer internship, you will be required to report the office 3 times a week at our Sandy Springs, GA headquarters.

EEO Statement

Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

Benefits

Mitarbeiterhandy möglich

Mitarbeiter Events

Gesundheitsmaßnahmen

Betriebliche Altersversorgung

KontaktMercedes-Benz USA, LLC

One Mercedes-Benz Drive30328 AtlantaDetails zum Standort

Molly Zhang E-Mail: molly.m.zhang@mbusa.com

Join us

Mercedes-Benz USA

New Jobs

Machine Learning Engineer Summer (STAR) Intern