AI Engineer

🔥 13 minutes ago

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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

• Develop scalable solutions to complex real-world problems using Machine Learning • Design, build, and deploy scalable applications that consume machine learning models • Deploy models on Google Cloud Platform (GCP) • Work with Generative AI technologies • Adhere to robust software engineering principles • Collaborate with Senior Developers and Tech Anchors on internal AI Software Engineering and Data Science projects

🎯 Requirements

• English proficiency (written and verbal) • A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline • 2+ years of experience with Python and Cloud Engineering / Services such as GCP Vertex AI and related services • A solid foundational understanding of Machine Learning concepts and Generative AI (GenAI) technologies, including Large Language Models (LLMs) • Experience with AI/ML workflow orchestration tools: e.g., Airflow, Kubeflow etc • Experience in DevSecOps using tools such as Tekton, SonarQube, Checkmarks etc • Experience with scripting languages (e.g., Bash, PowerShell)

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development