Remote Lead AI Engineer & ML Architect

Placements24

Siyancuma Local Municipality

Hybrid

ZAR 900,000 - 1,200,000

Full time

6 days ago
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Benefits offered by this job

Stock options
Performance bonuses
Fully remote with global flexibility
Professional development budget
Collaborative culture
Lead impactful AI projects

Job summary

Placements24 is seeking a Lead AI Engineer to guide architecture and production deployment of advanced AI systems in a fully remote setting. You will mentor a growing team, define best practices, and collaborate with product managers to translate requirements into scalable solutions.

You will influence technical direction, champion MLOps, and ensure code quality, performance, and reliability across cloud platforms (AWS/Azure/GCP).

Qualifications

  • Master's or PhD in CS, AI, or related field.
  • 7+ years in AI/ML engineering with at least 2 years in a lead role.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
  • Experience with cloud platforms and MLOps practices.
  • Strong architecture, distributed systems, and data engineering knowledge.
  • Excellent leadership and communication abilities.

Responsibilities

  • Lead design, development, and deployment of AI/ML systems and infra.
  • Mentor a team of AI/ML engineers and define best practices.
  • Collaborate with product managers to translate requirements into solutions.
  • Architect scalable AI solutions leveraging cloud technologies.
  • Drive innovation and evaluate new AI technologies.

Skills

Python
TensorFlow
PyTorch
Distributed systems
Leadership

Education

Master's or PhD in CS/AI

Tools

AWS
Azure
GCP

Job description

Placements24 is seeking a Lead AI Engineer to guide architecture and production deployment of advanced AI systems in a fully remote setting. You will mentor a growing team, define best practices, and collaborate with product managers to translate requirements into scalable solutions.

You will influence technical direction, champion MLOps, and ensure code quality, performance, and reliability across cloud platforms (AWS/Azure/GCP).

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