AI/ML Engineer

Ford Motor • Dearborn, MI

3d • Hybrid

About The Position

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics (GDIA) team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs both on-prem and cloud native. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

Requirements

• 5+ years' experience in Software Engineering.
• Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.
• 1+ year experience with developing for and deploying to cloud platforms (e.g. GCP, PCF, Azure)
• Implement and optimize cloud services and tools (e.g. Terraform, BigQuery, GCP)
• Build and maintain the foundational systems that power scalable, reliable, high-performance environments while also developing the intelligence layer that transforms data into actionable insights through machine learning.
• Develop internal frameworks, APIs, and developer tools using: Core Software Engineering: Languages & Methodologies: Java, Python, SQL (or similar major programming languages), and Test-Driven Development (TDD).
• Application Development: REST-style microservices (Spring Boot, Cloud Run) and JavaScript-based UI frameworks (Angular, React, or Vue).
• Cloud & Infrastructure: GCP Architecture: Google Cloud Platform services including Cloud Run, Google Cloud Storage (GCS), Kubernetes Engine (GKE), Cloud SQL, Cloud IAM, and BigQuery.
• Infrastructure & Operations: Infrastructure as Code (IaC), Terraform.
• DevOps, Reliability & Security: CI/CD & Containers: Jenkins, Tekton, GitHub Actions, Git/GitHub, Docker, Podman, Cloud Build and Deploy, and Artifact Registry.
• Monitoring: Splunk, Dynatrace, Grafana, Apigee, and Cloud Logging.
• DevSecOps: SonarQube, Fossa, Cycode, and Checkmarx.
• Data Engineering & Machine Learning (MLOps): Data Processing & Databases: Big Data, PySpark, MS SQL Server, PostgreSQL, and MySQL.
• ML Training: Google Vertex AI (Studio, Training, Model Registry), XGBoost, and CatBoost.
• Pipelines & Workflows: Oozie workflows, Apache Airflow, and Astronomer.
• Production Integration: Vertex AI Endpoints, Batch Inference, and Astronomer.
• Bachelor’s degree in computer science, computer engineering or a combination of education and equivalent experience.

Responsibilities

• Provide thought leadership across the greater Ford community
• Define, design, develop, and deploy applications/services
• Perform design review, code review and mentor junior team members
• Create proof-of-concepts to test business ideas with working software
• Use Agile principles and software craftmanship practices to sustainably and efficiently engineer software
• Collaborate with product managers, product designers, product owners, data scientists, and other software engineers to define product direction
• Integrate with other Ford systems and business processes to create new digital experiences
• Partner with software engineers and data scientists from other teams to build solutions with proven value

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level