Artificial Intelligence Infrastructure Specialist

Há 2 dias

São Paulo, São Paulo, Brasil beBeeEngineering Tempo inteiro US$50 - US$55
Senior AI Infrastructure Engineer

BayRock Labs is looking for an experienced Senior AI Infrastructure Engineer to play a crucial role in designing, building, and scaling our AI and data infrastructure.

  • Design and Implement Cloud-Native Infrastructure: Design, implement, and maintain cloud-native infrastructure to support AI and data workloads with a focus on AI and data platforms.
  • Build Scalable Data Pipelines: Build and manage scalable data pipelines to ingest, transform, and serve data for machine learning and analytics.
  • Develop Infrastructure-as-Code: Develop infrastructure-as-code using tools like Cloudformation and AWS CDK to ensure repeatable and secure deployments.
  • Collaborate with Cross-Functional Teams: Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production.
  • Drive Observability Best Practices: Drive best practices for observability, including monitoring, alerting, and logging for AI platforms.

Requirements:

  • 7+ years of professional experience in software engineering and infrastructure engineering.
  • Extensive experience building and maintaining AI/ML infrastructure in production, including model, deployment, and lifecycle management.
  • Strong knowledge of AWS and infrastructure-as-code frameworks, ideally with CDK.
  • Expert-level coding skills in TypeScript and Python building robust APIs and backend services.

Join Our Team: As a Senior AI Infrastructure Engineer at BayRock Labs, you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals.

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