Remote Senior AI Engineer — Deep Learning Lead

Placements24

LegKraal Gate

Hybrid

ZAR 900,000 - 1,300,000

Full time

5 days ago
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Benefits offered by this job

Remote work stipend
Professional development

Job summary

Placements24 in South Africa seeks a Senior AI Engineer focused on deep learning to design, build, and deploy DL models powering next-generation AI products. You will collaborate with a global team, translate research into production-ready systems, and contribute to scalable Python code using TensorFlow/PyTorch.

The ideal candidate has 5+ years in AI, deep learning expertise, and strong cloud/MLOps experience, with excellent communication for remote collaboration.

Qualifications

  • Master's or PhD in CS, ML, AI, or related field.
  • 5+ years of AI engineering experience with deep learning.
  • Experience with TensorFlow, PyTorch, or Keras.
  • Strong Python and ML libraries like NumPy, scikit-learn.
  • Familiar with cloud platforms (AWS/Azure/GCP) and MLOps.
  • Excellent problem-solving and remote collaboration skills.

Responsibilities

  • Design, implement, and optimize deep learning models.
  • Develop ML pipelines for training, validation, deployment.
  • Collaborate with global researchers to productionize research.
  • Write scalable Python code using DL frameworks.
  • Mentor junior engineers and contribute to knowledge base.
  • Monitor and maintain models in cloud environments.

Skills

Deep learning expertise
Python
TensorFlow
PyTorch
Keras
Cloud platforms
MLOps
Distributed training
Research collaboration

Education

Master's or PhD in CS/ML/AI or related

Tools

TensorFlow
PyTorch
Keras
NumPy
scikit-learn

Job description

Placements24 in South Africa seeks a Senior AI Engineer focused on deep learning to design, build, and deploy DL models powering next-generation AI products. You will collaborate with a global team, translate research into production-ready systems, and contribute to scalable Python code using TensorFlow/PyTorch.

The ideal candidate has 5+ years in AI, deep learning expertise, and strong cloud/MLOps experience, with excellent communication for remote collaboration.

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