ML Engineering Lead for Production AI Systems

Toyota Deutschland GmbH; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Toyota is hiring an experienced data science leader in Plano, TX to manage a production-grade ML, analytics, and optimization team. You will own delivery, governance, and performance across credit, pricing, collections, treasury, and other functions.

Reporting to the National Manager, Data Science, you will set technical bar, drive fast yet reliable execution, and coach engineers and senior ICs to durable, high-quality systems.

Qualifications

• 7+ years in data science or ML with production ownership.
• 2+ years people-management experience.
• Experience building ML/optimization systems in production.
• Proficient with Python and SQL; cloud platforms experience.
• Experience with MLOps, governance, and production readiness.

Responsibilities

• Lead and develop a high-performing ML/engineering team with coaching and mentorship.
• Set technical direction for architecture, deployment, and data quality.
• Collaborate with data scientists, analysts, and product partners to translate needs.
• Oversee design and implementation of high-throughput services and analytics apps on cloud platforms.
• Define ML engineering roadmap and operating model across teams.
• Raise the engineering bar with reviews, testing, and governance practices.
• Improve processes, reproducibility, and incident response in ML workloads.
• Balance new development with maintenance and technical debt.
• Represent the team in planning and budgeting discussions.

Skills

Leadership

People management

Strategic planning

Cross-functional collaboration

Architectural thinking

Communication

Mentoring

Problem solving

Education

Master's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Operations Research, or related field

Tools

AWS

GCP

Azure

Snowflake

Spark

Databricks

Job description

Toyota is hiring an experienced data science leader in Plano, TX to manage a production-grade ML, analytics, and optimization team. You will own delivery, governance, and performance across credit, pricing, collections, treasury, and other functions.

Reporting to the National Manager, Data Science, you will set technical bar, drive fast yet reliable execution, and coach engineers and senior ICs to durable, high-quality systems.