Job Description
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 Data & Technology Team at MBUSA plays a pivotal role in harnessing and analyzing vast amounts of data to derive valuable insights. Leveraging cutting-edge technologies and methodologies, this department focuses on interpreting complex datasets to enhance decision-making processes across various aspects of the Mercedes-Benz ecosystem using machine learning and AI. From optimizing sales processes to improving customer experiences, the team utilizes advanced analytics and data-driven strategies to drive innovation, efficiency, and overall business excellence within the company
Job Overview
The Intern Digital Services will work on a variety of business development and product topics for the Mercedes-Benz digital services portfolio. Mercedes-Benz USA offers many digital services to our customers such as in-app services, in-car services, and data services through 3rd party integrations. The Intern Digital Services will support the Connected Vehicle and Data Integrations teams with market launch tasks such as localization of HQ blueprints, testing customer features, and deploying customer communication strategies for new and existing digital services
Responsibilities:
- Design and build processes to deploy models and monitor their quality and performance over time
- As a Machine Learning Engineer, you will play in integral role within MBUSA for helping build and support advanced analytic solutions that are used across the enterprise
- Machine Learning Engineers are responsible for helping deploy data science solutions, build solutions that optimize analytic workflows, and assisting with analytic research requests
- Design framework to automate model training and testing
Research, implement and document best practices for scaling our ML operations
Qualifikationen Qualifications / Education:
To qualify for this internship opportunity, you must be a rising junior, senior enrolled 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
Skills
- Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
- Ability to manage the infrastructure and data pipelines needed to bring ML solutions to production
- End-to-end understanding of applications being created
- Ability to maintain scalable machine learning solutions in production
- Ability to abstract the complexity of production for machine learning using containers
- Ability to troubleshoot production machine learning model issues, including recommendations for to retrain and re-validate
- Experience with Big Data Projects using multiple types of structured and unstructured data
- Proficient knowledge in SQL, Python and R (knowledge in Pyspark, SparkR or Scala is a plus),
- Basic knowledge about containerization technologies such as Docker, Kubernetes
- Understanding of DevOps and CI/CD concepts
An analytical mind and inclination for problem-solving
Additional Information
During this 8-10 week summer internship, you will be required to report the office 4 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 Mercedes-Benz Group
Job Tags
Internship, Local area,