ML Enablement Engineering Manager (Platform Engineering)

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you will be a pivotal leader, guiding and developing a team of engineers.

Your primary focus will be on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. This role emphasizes building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production.

You will collaborate closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices.

This position is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively.

Your leadership is crucial in driving the success of our machine learning initiatives.

Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise.

We are seeking a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions.

While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure .

You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices.

Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment.

You will be pivotal in delivering these solutions on time and within budget.

Responsibilities :

I. Engineering Leadership & Management :

• Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus.
• Lead and mentor engineering teams, fostering a culture of innovation, continuous learning, and technical excellence .
• Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals.
• Proven ability to build and maintain high-performing teams , promoting accountability, ownership, and collaboration.
• Experience with performance management , including conducting performance reviews and providing constructive feedback.
• Excellent communication and interpersonal skills , with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels.

II. Agile & Scrum Practices :

III. Technical Expertise & Accountability :

IV. Operational Excellence & Cost Optimization :

Skills Required

Gcp, Devops, MLops, Agile