AI Engineer

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Contribute to the development and maintenance of Python-based applications leveraging GenAI, LLMs, and traditional machine learning models to solve business problems • Help deliver and scale the AI/MLOps platform on GCP for data scientists across the company • Write clean, testable, and maintainable code; participate in code reviews and use Git for version control and collaboration • Assist in developing autonomous AI agents using LangGraph or ADK to automate workflows • Support production deployment of AI models, run simulations for algorithm development, and collaborate on intelligent-system design • Develop and integrate RESTful APIs connecting systems and services within the ML platform • Help automate model training, retraining, and deployment pipelines using Agile methodologies and CI/CD/CT principles under senior-engineer guidance • Collaborate with engineering teams to understand platform vision, break down tasks, and solve complex AI problems • Experiment with NLP, computer vision, MLOps, and Kubernetes and share learnings with the team • Participate in innovating and standardizing AI/ML development practices • Leverage AI-powered development tools such as GitHub Copilot, Cline, or Open Code while maintaining code quality, security, and performance

🎯 Requirements

• English proficiency, written and verbal • Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical discipline • 2+ years of experience with Python and cloud engineering/services such as GCP Vertex AI and related services • Foundational understanding of machine learning concepts and Generative AI technologies, including LLMs • Experience with AI/ML workflow orchestration tools such as Airflow or Kubeflow • Experience in DevSecOps using tools such as Tekton, SonarQube, or Checkmarx/Checkmarks • Experience with scripting languages such as Bash or PowerShell • Desired: Master’s degree in computer science, AI, machine learning, or related field • Desired: Exposure to ML frameworks such as scikit-learn, TensorFlow, or PyTorch • Desired: Familiarity with CI/CD concepts and tools such as GitHub Actions, SonarQube, or Checkmarks • Desired: Basic knowledge or experience with Terraform • Desired: Ability to contribute to ML-platform user interfaces using React, Dash, Angular, or similar frameworks • Desired: Experience with container technology, Dockerfiles, Docker images, GitHub, and CI/CD concepts • Desired: Experience with Agile methodologies, pair programming, or test-driven development