Machine Learning Engineer

We are seeking an experienced Machine Learning Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of upstream and downstream auction prices, directly benefiting the Business and Sales Planning Analytics (BSPA) Used Vehicle Analytics team and its customers. The ideal candidate will excel at developing ML/Software Engineering Solutions, performing DevSecOps, and collaborating with cross-functional teams (including ML Engineers, Data Scientists, and Data Engineers) to improve processes and drive business performance.

Responsibilities:

• Develop, build and maintain infrastructure required for machine learning, including data pipelines, model deployment platforms, and model monitoring.
• Develop and maintain tools and libraries to support the development and deployment of machine learning models.
• Automate machine learning workflows using DevSecOps principles and practices.
• Collaborate with development and operations teams to implement software solutions that improve system integration and automation of ML pipelines.
• Design, develop, and manage data flows and APIs between upstream systems and applications.
• Troubleshoot and resolve issues related to system communication, data flow, and data quality.
• Create and maintain comprehensive technical documentation of software components.
• Implement and enforce the highest standards of data quality and integrity across all data processes.
• Manage deliverables through project management tools.
• Collaborate with technical and non-technical teams to gather integration requirements and ensure successful deployment of data solutions.
• Work with IT to ensure systems meet evolving business needs and comply with data governance policies and security requirements.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 3+ years of experience in developing and deploying machine learning models in a production environment.
• 3+ years of experience in programming with Python
• 2+ years of hands-on experience utilizing Google Cloud Platform (GCP) services, including BigQuery and Google Cloud Storage to efficiently manage and process large datasets, as well as Cloud Composer and/or Cloud Run.
• Experience with version control systems like GitHub for managing code repositories and collaboration.
• 2+ years of experience with code quality and security scanning tools, such as, SonarQube, Cycode and FOSSA.
• 3+ years of experience with data engineering tools and technologies, such as, Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (with PySpark) or Airflow.
• Experience with CI/CD practices and tools, including Tekton or Terraform, as well as containerization technologies like Docker or Kubernetes.
• Excellent problem-solving and analytical skills, with a focus on data-driven solutions.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud Platform.
• Familiarity with Atlassian project management tools (e.g., Jira, Confluence) and agile practices.

Preferred Qualifications:

• 5+ years of experience in the automotive industry, particularly in auto remarketing and sales.
• Master's degree in a relevant field (e.g., Computer Science, Data Science, Engineering).
• Proven ability to thrive in dynamic environments, managing multiple priorities and delivering high-impact results even with limited information.
• Exceptional problem-solving skills, a proactive and strategic mindset, and a passion for technical excellence and innovation in data engineering.
• Demonstrated commitment to continuous learning and professional development.
• Familiarity with machine learning libraries, such as TensorFlow, PyTorch, or Scikit-learn
• Experience with MLOps tools and platforms.

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, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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: Benefit Summary

*Please note: This is a hybrid role based in Dearborn, MI, you are expected to commute on-site up to 3 times a week*

*Visa Sponsorship is NOT provided for this role*

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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