Remote AI Platform Engineer: Scale ML Infra & Pipelines

Placements24

Stellenbosch

Hybrid

ZAR 600,000 - 1,100,000

Full time

36 hours ago
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Benefits offered by this job

Health insurance
Flexible hours
Remote work
Home office allowance
Global projects

Job summary

Placements24 is hiring a Remote AI Platform Engineer to design, build, and maintain scalable cloud infrastructure for AI/ML workloads. You’ll develop and manage CI/CD pipelines, MLOps practices, and data storage solutions while ensuring reliability and performance for teams that span the globe.

You will collaborate with data scientists and ML engineers to optimize workflows and tooling, enabling rapid innovation from a distributed team across remote locations.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Experience as a Platform/DevOps engineer focused on AI/ML infrastructure.
  • Cloud proficiency (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • MLOps tools and model deployment/lifecycle experience.
  • Strong scripting (Python, Bash) and troubleshooting skills.

Responsibilities

  • Design, build, and manage scalable cloud infrastructure for AI/ML workloads.
  • Develop and maintain CI/CD pipelines for ML models and applications (MLOps).
  • Implement and manage data storage, processing, and warehousing for large datasets.
  • Monitor performance, troubleshoot issues, and ensure reliability of AI platforms.
  • Collaborate with data scientists and ML engineers to optimize workflows.

Skills

Cloud platforms
Docker
Kubernetes
Python
Bash
MLOps
CI/CD

Education

Bachelor's degree

Tools

CI/CD tools

Job description

Placements24 is hiring a Remote AI Platform Engineer to design, build, and maintain scalable cloud infrastructure for AI/ML workloads. You’ll develop and manage CI/CD pipelines, MLOps practices, and data storage solutions while ensuring reliability and performance for teams that span the globe.

You will collaborate with data scientists and ML engineers to optimize workflows and tooling, enabling rapid innovation from a distributed team across remote locations.

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