AI/ML Platform Engineer

Mercedes-Benz USA, LLC

Mercedes-Benz USA, LLC Corporate Headquarters, Atlanta, GA (On-site)

Job Type Full-time

Experience Senior

Posted 1 week 4 days ago

On-site Senior Level

About Us

Mercedes-Benz USA is responsible for the sales, marketing and service of Mercedes-Benz and Maybach products in the United States. The company seeks diverse, committed individuals who uphold its corporate values of Passion, Respect, Integrity, Discipline, and Execution.

Job Overview

The AI/ML Platform Engineer is responsible for foundational platform capabilities that power AI and machine learning delivery across Mercedes-Benz USA. This role designs, builds, and operates shared AI/ML infrastructure, deployment pipelines, model lifecycle tooling, and reusable engineering services that enable data scientists, AI engineers, and business teams to develop and scale AI solutions efficiently.

The role supports classical machine learning, generative AI, agent-based solutions, and enterprise-scale analytics workloads, combining platform engineering, cloud, MLOps, and production operations expertise.

Responsibilities

AI/ML Platform Engineering & Delivery: Design, build, and operate enterprise AI/ML platform capabilities; develop model deployment pipelines, model registries, experiment tracking, and MLOps tooling; create reusable components, automation frameworks, and deployment standards; manage multi-tenancy, resource isolation, governance, reliability, security, observability, and cost optimization.
Platform Architecture & Engineering Standards: Define platform architecture, deployment patterns, and engineering standards; evaluate emerging technologies; partner with architecture, infrastructure, security, and engineering teams; provide technical leadership for platform investments and modernization.
Operational Excellence & Reliability: Establish monitoring, logging, performance management, support, documentation, automation, and operational runbooks while improving platform reliability and maturity.
Collaboration & Technical Leadership: Collaborate with data scientists, AI engineers, architects, infrastructure teams, and business stakeholders, and provide technical mentorship across the AI Engineering organization.

Required Technical Skills

Strong proficiency in Python, SQL, PySpark, and distributed data processing frameworks.
Experience with Azure Databricks, including Unity Catalog, Delta Lake, MLflow, Feature Store, and Model Serving.
Experience with Azure, AWS, or comparable cloud platforms; MLOps; model deployment pipelines; CI/CD; workflow orchestration; and production AI platform operations.
Experience with Docker, Kubernetes, Infrastructure as Code, GPU-enabled workloads, distributed compute, event-driven architectures, streaming technologies, observability, reliability engineering, and cloud cost management.

Preferred Skills

Experience with Azure OpenAI, AWS Bedrock, vector databases, retrieval technologies, generative AI, agent-based solutions, Responsible AI, governance, security, or risk management.

Qualifications

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.
Experience designing, building, and operating enterprise AI/ML platforms and reusable engineering frameworks or shared infrastructure.
Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, production operations, communication, collaboration, and stakeholder management.

Additional Information

The position requires regular collaboration with business, technology, and external partner teams across multiple time zones. Some travel is required. The role is part of MBUSA's Data Insights & AI organization and contributes to the company's long-term AI strategy and operating model.