Cloud Software Lead for AI/ML SaaS & Edge Solutions

Borgwarner Emissions Systems Spain SL

Auburn Hills (MI)

Hybride

USD 130 000 - 180 000

Plein temps

14 jours+

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Résumé du poste

BorgWarner, Inc. seeks an Advanced Engineering - Cloud Software Development Lead in Auburn Hills, MI, offering a hybrid work model with work from home and office presence.

You will guide a growing software team building enterprise-grade SaaS applications, lead cloud-native architectures, and drive AI/ML and E-Mobility initiatives, collaborating with internal and external stakeholders. The role emphasizes integration of data pipelines, edge deployments, and secure networking, with a strong focus

Qualifications

  • Bachelor’s degree and 60 months of related experience.
  • Experience designing, developing, deploying scalable web applications in enterprise environments.
  • Experience with microservices and API development.
  • Experience defining cloud-based application architecture.
  • Experience leading project teams with external partners and contractors.

Responsabilités

  • Lead cloud software development for AI/ML and E-Mobility projects.
  • Design, develop, and deploy SaaS solutions for concept projects.
  • Provide technical leadership to a growing software team.
  • Oversee external service providers and project lifecycles.
  • Develop data pipelines and edge AI solutions; deploy models at scale.
  • Implement secure, scalable cloud architectures including RBAC and network security.

Connaissances

Cloud-based software development
Microservice architectures
API development
CI/CD pipelines
AI/ML integration

Formation

Bachelor’s degree in Computer Science / Computer Engineering / Electronic Engineering

Outils

Figma
Anima

Description du poste

BorgWarner, Inc. seeks an Advanced Engineering - Cloud Software Development Lead in Auburn Hills, MI, offering a hybrid work model with work from home and office presence.

You will guide a growing software team building enterprise-grade SaaS applications, lead cloud-native architectures, and drive AI/ML and E-Mobility initiatives, collaborating with internal and external stakeholders. The role emphasizes integration of data pipelines, edge deployments, and secure networking, with a strong focus

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