Senior DevOps Engineering Manager - ML Platform

In this position…

Join our dynamic team as a Senior DevOps Engineering Manager and play a pivotal role in driving our machine learning platform engineering initiatives. We seek a hands-on leader to guide a team of engineers, shape our DevOps strategy, and actively contribute to deploying and integrating machine learning solutions into our platform and products in a fast-paced environment.

The Ford Motor Credit Company team helps put people behind the wheels of great Ford and Lincoln vehicles. By partnering with dealerships, we provide financing, personalized service and professional expertise to five thousand dealers and more than four million customers in over one hundred countries around the world.

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

This is a hybrid role and requires to be in office, Dearborn MI, 3 days a week

What You'll Do…

• Develop and execute a comprehensive technical strategy, overseeing the architecture, design, implementation, and operation of the ML lifecycle and experimentation capabilities.


• Establish and lead a high-performing team, taking ownership of outcomes and fostering a culture of continuous learning and innovation.


• Get hands-on with the daily operations of the team, writing and reviewing code, troubleshooting issues, and mentoring engineers.


• Drive operational excellence by consistently improving capabilities.


• Create and maintain scalable DevOps frameworks and infrastructure that support the entire machine learning lifecycle, from data ingestion to model deployment and monitoring.


• Collaborate seamlessly with cross-functional teams, including data scientists, data engineers, software developers, and business stakeholders to prioritize robustness, scalability, and performance in the integration of machine learning models into production systems.


• Implement rigorous security best practices for machine learning infrastructure and applications, ensuring compliance with industry standards and regulations.


• Maintain comprehensive technical documentation, guidelines, and knowledge base articles to facilitate knowledge sharing and best practices.

You'll Have…

• Bachelor's degree in Computer Science, Engineering, or a related field.


• 5+ years of experience managing a team of software engineers or DevOps teams.


• 3+ years of hands-on experience deploying and managing machine learning models in production environments.


• 10+ years of overall IT experience.


• Proficiency in programming languages such as Python, coupled with experience in machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP).


• Solid understanding of software engineering principles, CI/CD practices, and infrastructure automation tools (e.g., Docker, Kubernetes).


• Exceptional written and verbal communication skills with the ability to convey technical information to a wide variety of audiences.

Even Better If You Have…

• Master's degree in Computer Science, Engineering, or a related field.


• Relevant certifications in DevOps, cloud platforms, or project management.


• Proficiency in GCP services.


• Knowledge of security and privacy considerations in machine learning systems, including data encryption, access controls, and adherence to regulations like GDPR or HIPAA.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here:
This position is a leadership level 6.

Visa sponsorship is not available for this position. 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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