Remote Senior AI Platform Engineer for Scalable Infra

Placements24

Benoni

Hybrid

ZAR 900,000 - 1,400,000

Full time

33 hours ago
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Benefits offered by this job

Remote work
Health & wellness benefits
Performance bonuses

Job summary

Placements24 is hiring a Senior Software Engineer - AI Platforms for a fully remote team. You will design, build, and maintain scalable AI platform software to enable data scientists and ML engineers to train and deploy models efficiently.

Strong distributed systems, cloud-native experience, and expertise in Python, Java, Go, or C++ are essential. You will collaborate with ML engineers and stakeholders to deliver robust platform capabilities, implement monitoring, and ensure secure,

Qualifications

  • BS/MS in Computer Science, Engineering or related field.
  • 7+ years of professional software development experience.
  • Experience building distributed or cloud-native AI platforms is highly desirable.
  • Proficiency in Python, Java, Go, or C++.
  • Experience with AWS/Azure/GCP and container orchestration.

Responsibilities

  • Design, develop, and maintain scalable AI platform software.
  • Build infrastructure for data processing, model training, and deployment.
  • Develop APIs and microservices for AI model deployment.
  • Collaborate with data scientists and ML engineers on platform needs.
  • Write clean, well-documented code using Python/Java/Go/C++.
  • Implement monitoring, logging, and cost-effective infrastructure.

Skills

Python
Java
Go
C++
Distributed systems
Cloud platforms
Docker
Kubernetes
Spark
CI/CD

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker
Kubernetes

Job description

Placements24 is hiring a Senior Software Engineer - AI Platforms for a fully remote team. You will design, build, and maintain scalable AI platform software to enable data scientists and ML engineers to train and deploy models efficiently.

Strong distributed systems, cloud-native experience, and expertise in Python, Java, Go, or C++ are essential. You will collaborate with ML engineers and stakeholders to deliver robust platform capabilities, implement monitoring, and ensure secure,

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