AI Productization Engineer — Scale ML to Production

Mercedes-Benz USA; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Employee phone (possible)

Employee events

Health measures

Company pension

Commuter benefits

Flexible working hours

Employee discounts

Coaching

Employee participation

Parking

Good transport links

Barrier-free access

Childcare

Canteen, cafe

Job summary

Mercedes-Benz USA seeks an AI Productization Engineer to turn AI/ML pilots into production-ready products. You will define deployment patterns, establish readiness standards, and implement integration with enterprise systems.

The role bridges innovation and sustainable business value, partnering with data science, AI engineering, and architecture teams to drive scalable AI solutions. You will own versioning, validation gates, and performance optimizations, ensuring reliability, observability,

Qualifications

• Bachelor’s degree required in a technical field.
• 8+ years of software/AI engineering or related experience.
• Experience deploying AI or ML capabilities into production environments.
• Experience designing scalable enterprise integration solutions.
• Strong understanding of operational support and production delivery.
• Excellent communication and stakeholder management skills.

Responsibilities

• Lead the transition of AI and ML solutions from pilot to production.
• Develop reusable deployment, integration, and operational frameworks.
• Establish production readiness standards and supportability requirements.
• Define integration patterns connecting AI capabilities with enterprise systems.
• Establish model and service versioning strategies with automated validation gates.
• Ensure solutions meet reliability, scalability, monitoring, and support expectations.
• Drive consistency across AI delivery efforts and data validation processes.
• Collaborate with data science, AI engineering, architecture, and business teams.

Skills

Python

SQL

Azure Databricks

Azure / AWS

MLflow

API development

Docker

Kubernetes

CI/CD

Production operations

Enterprise integration

Terraform

Testing frameworks (Locust)

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field

Tools

Databricks Workflows

Airflow

Terraform

OpenTelemetry

Azure API Management / AWS API Gateway

GraphQL

gRPC

Redis

Job description

Mercedes-Benz USA seeks an AI Productization Engineer to turn AI/ML pilots into production-ready products. You will define deployment patterns, establish readiness standards, and implement integration with enterprise systems.

The role bridges innovation and sustainable business value, partnering with data science, AI engineering, and architecture teams to drive scalable AI solutions. You will own versioning, validation gates, and performance optimizations, ensuring reliability, observability,