Remote AI Solutions Architect — Build Scalable ML Platforms

Placements24

Klerksdorp

Hybride

ZAR 1 200 000 - 2 400 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Remote work
Home office stipend
Generous PTO

Résumé du poste

Placements24 is seeking a visionary Remote AI Solutions Architect to lead the design and implementation of scalable AI platforms. You will architect end-to-end AI solutions, data pipelines, and deployment strategies for global clients, working with a distributed team from anywhere.

The role requires 10+ years in software architecture with 5+ years in AI/ML, cloud experience across AWS/Azure/GCP, deep ML concepts and MLOps, and strong communication in a remote setting.

Qualifications

  • Bachelor’s or Master’s in CS/Engineering or a related field.
  • 10+ years in software architecture with 5+ years in AI/ML.
  • Experience deploying complex AI/ML systems in cloud environments (AWS/Azure/GCP).
  • Strong knowledge of ML concepts, data architecture, and MLOps.
  • Excellent remote communication and stakeholder management.

Responsabilités

  • Design and architect end-to-end AI solutions including data pipelines and models.
  • Collaborate with clients and stakeholders to define technical specs for AI projects.
  • Evaluate AI technologies, frameworks, and cloud platforms.
  • Develop roadmaps and blueprints for AI initiatives aligned with business goals.
  • Provide technical leadership to development teams across the project lifecycle.
  • Ensure scalability, performance, security, and cost-effectiveness of AI architectures.
  • Document architectures and best practices; promote knowledge sharing in a remote team.

Connaissances

Python
Java
Scala
Cloud architecture
Remote collaboration

Formation

Bachelor's or Master's in CS/Engineering

Outils

Docker
Kubernetes
AWS
Azure
GCP

Description du poste

Placements24 is seeking a visionary Remote AI Solutions Architect to lead the design and implementation of scalable AI platforms. You will architect end-to-end AI solutions, data pipelines, and deployment strategies for global clients, working with a distributed team from anywhere.

The role requires 10+ years in software architecture with 5+ years in AI/ML, cloud experience across AWS/Azure/GCP, deep ML concepts and MLOps, and strong communication in a remote setting.

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