We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

Ford Motor Credit Company is on its journey to modernize its legacy applications and platforms to transform the business, improve customer experiences for enhanced regulatory compliance & operational efficiencies as a captive finance company.  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.

What you'll do...

Sr. ML Engineer is expected to develop ML/Software Engineering Solutions, perform DevOps and work closely with other stakeholders (ML Engineers, Data Scientists, and Data Engineers) with key responsibilities to: 

Support other Data Science teams deploy Machine Learning systems in an advisory/consultative role

Uplevel team's skill and expertise in ML systems by sharing knowledge by written documentations and video tutorials customized for Ford Pro Data Science team's needs

Develop an in-depth understanding of the current Risk Analytics landscape and build the new Risk Platform in GCP

Lead evaluation of design options, tools, and utilities to build implementation patterns for MLOps using SAS Viya and VertexAI in the most optimal ways.

Create solutions and perform hands-on PoCs to move Risk Platform Components (KBS, CRIF, and SAS) to GCP.

Work with Suppliers, Google Professional Services, and other Consultants as required to migrate key Risk models to GCP for Lending and Insurance platforms 

Collaborate with program managers to plan iterations, backlogs, and dependencies across all workstreams to progress the program at the required pace.

Led a team of ML Engineers to guide Implementation Patterns, Troubleshooting Guidance, and Remove Roadblocks for the Engineering teams.

Provide advisory and technical consulting across all initiatives including product evaluations and recommendations, security, engineering assessments, integration considerations, etc.

Collaborate with Data/ML Engineering architects, SMEs, and technical leads to establish best practices for data products needed for model training and monitoring considering regulatory policy and legal compliance.

You'll have... 

Bachelor’s degree in computer science or related field of study

5+ years of relevant work experience in solution, application, and data/ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations.

2+ years of hands-on experience in Risk Analytics, MLOps and Engineering Solutions for ML based models and Rules Engines

Experience in migrating legacy applications to Cloud platform and business adoption of these platforms

Knowledge of enterprise frameworks and technologies. Strong in engineering design patterns, experience with secure interoperability standards and methods, engineering tools and processes.

Even better, you may have...

Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.

Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc. 

Understanding of microservices architecture

Strong leadership, communication, interpersonal, organizing, and problem-solving skills.

GCP Professional ML Engineer Certification 

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. 

This position is a salary grade 7.

For more information on salary and benefits, click here: https://fordcareers.co/GSR-HTHD

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. 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.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid #LI-FordCredit #LI-RR1