AI/ML Platform Engineer

Job summary

Tätigkeitsbereich:IT/Telekommunikation Fachabteilung:Digital Customer Experience Gesellschaft:Mercedes-Benz USA, LLC Standort:Mercedes-Benz USA, LLC Corporate Headquarters, Atlanta, GA Startdatum:sofort Veröffentlichungsdatum:22.07.

Benefits

Qualifications

• Fachabteilung:Digital Customer Experience
• The ideal candidate combines strong platform engineering expertise, cloud experience, MLOps knowledge, and production operations experience with a passion for building reliable and scalable engineering foundations.
• Technical
• Required
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
• 8+ years of experience in software engineering, machine learning engineering, AI platform engineering, or related disciplines.
• Demonstrated experience designing, building, and operating enterprise AI/ML platforms.
• Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, and production operations.
• Experience building reusable engineering frameworks, platform services, or shared infrastructure capabilities.
• Strong communication, collaboration, and stakeholder management

Responsibilities

• About Us
• Mercedes-Benz 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: 'PRIDE = Passion, Respect, Integrity, Discipline, and Execution'.
• 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.
• The AI/ML Platform Engineer is responsible for the foundational platform capabilities that power AI and machine learning delivery across Mercedes-Benz USA.
• AI/ML Platform Engineering & Delivery (60%)
• Design, build, and operate enterprise AI/ML platform capabilities and shared engineering services.
• Develop and maintain model deployment pipelines, model registry capabilities, experiment tracking, and foundational MLOps tooling.
• Create reusable platform components, templates, automation frameworks, and deployment standards that accelerate AI delivery.
• Provide the platform foundations supporting machine learning, generative AI, agent-based solutions, and AI productization initiatives.
• Design and manage multi-tenancy patterns, resource isolation strategies, and workload governance across teams and business domains.

Skills

Degrees

Languages

Travel

Industry

Company size