Remote Senior Deep Learning Engineer — Production AI

Placements24

Sandton

Hybride

ZAR 900 000 - 1 500 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Remote work
Global health, dental, and vision §ins
Generous time off
Professional development budget
Stock options or performance bonuses
Access to cutting-edge computing
Virtual team events

Résumé du poste

Placements24 is seeking a Senior Deep Learning Engineer for a fully remote position. You will design, implement, and optimize state-of-the-art deep learning models (CNNs, RNNs, Transformers) across domains, collaborating with a global team from concept to production deployment.

The ideal candidate holds a PhD or MS in CS/ML with 5+ years of hands-on DL experience and proficiency in TensorFlow, PyTorch, Python, and cloud platforms.

Qualifications

  • PhD or Master’s in Computer Science, ML, AI or related field.
  • 5+ years hands-on experience in deep learning R&D.
  • Expertise with TensorFlow, PyTorch, or Keras.
  • Strong Python programming and data library skills.
  • Experience deploying DL models in production environments.

Responsabilités

  • Design, develop, and train deep learning models (CNNs, RNNs, Transformers).
  • Implement and optimize DL algorithms for AI applications.
  • Collaborate with researchers and engineers in a remote setting.
  • Deploy models into production with scalability and performance.

Connaissances

Deep learning
TensorFlow
PyTorch
Python
Research
Distributed training
Remote work

Formation

PhD in CS/ML
Master's degree in CS/ML

Outils

NumPy
Pandas
Keras
AWS/Azure/GCP

Description du poste

Placements24 is seeking a Senior Deep Learning Engineer for a fully remote position. You will design, implement, and optimize state-of-the-art deep learning models (CNNs, RNNs, Transformers) across domains, collaborating with a global team from concept to production deployment.

The ideal candidate holds a PhD or MS in CS/ML with 5+ years of hands-on DL experience and proficiency in TensorFlow, PyTorch, Python, and cloud platforms.

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