> Markdown version of [/jobs/ext/1355443-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1355443-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Ford Motor Company - **Location:** Dearborn, MI, United States - **Salary:** $14,560.0 - $16,640.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Computer-Aided Design, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Code Review, Databases, Computer Engineering, Continuous Integration, Information Engineering, DevOps, Programming Tools, Github, Human-Computer Interaction, Identity and Access Management, Data Intelligence, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MySQL, Apache Oozie, Software Maintenance, Cloud Services, Software Engineering, SonarQube, SQL Databases, Data Logging, Data Processing, Google Cloud, Test-Driven Development (TDD), ReactJS, Grafana, Spring-boot, Ios Frameworks, Apigee, Infrastructure as Code (IaC), Build Server, Vue.js, AngularJS, Pyspark, Kubernetes, Information Technology, Xgboost, Machine Learning Operations, Checkmarx, Software Coding, Terraform, Splunk, Dynatrace, Devsecops, Docker, Jenkins, Programming Languages, Microservices - **Published:** July 20, 2026 - **Apply:** https://www.juju.com/job/00000000ghwoow ## About the Role + 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. ## Description 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. As an AI/ML Engineer, you will join the Product Team, collaborating closely with Product Managers, Product Designers, Data Scientists and fellow engineers to deliver impactful analytic solutions. In this role, you will take ownership of the full technical lifecycle, handling both the end-to-end development and the ongoing support and maintenance of these solutions. You'll work across the full-stack technologies to enable the highest priority work to be delivered. Within this highly collaborative environment, you will: + 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 ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Common Mistakes in Vue.js and How to Avoid Them](https://www.wearedevelopers.com/videos/958-common-mistakes-in-vue-js-and-how-to-avoid-them) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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