AI Engineer
Vaga remota de AI Engineering com fit claro de localização do candidato.
AI Engineer
Requisitos e responsabilidades
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We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world – together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That’s where Global Data Insight & Analytics makes an impact. We advise leadership on 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 analytics skills to drive evidence-based, timely decision making. We are seeking an experienced individual to drive critical development activities within FCSD, focusing on hands-on solution design, model development, and deployment. As an AI Engineer, you should have a strong technical background and demonstrate experience in Data Science, MLOps, and AI/ML Engineering. This role involves implementing analytical and machine learning solutions that ensure robustness, scalability, and compliance while following software engineering best practices. Responsibilities include the end-to-end development of AI products and services, from concept to production, working within mixed-skill teams and in close partnership with Product Managers and business stakeholders. By leveraging technical expertise and business acumen, you will deliver impactful AI solutions that improve customer experience, increase revenue, and drive business efficiency at scale. Originally posted on Himalayas
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