Senior Deep Learning Engineer — Remote AI Research

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Remote work

Conference & training budget

Professional development

Job summary

Placements24 is seeking a Senior Deep Learning Engineer to join a remote-first AI research team. You design, implement, and optimize deep neural networks, collaborating with researchers to turn novel ideas into production-ready solutions. Strong expertise in DL frameworks and cloud-based distributed training is required.

The role emphasizes mentorship, cutting-edge experiments, and developing scalable DL pipelines, with a competitive salary and a culture of innovation for remote talents.

Qualifications

• PhD or Master’s in Computer Science, Machine Learning or related field.
• 5+ years hands-on developing and deploying DL models.
• Expertise in TensorFlow, PyTorch, or Keras.
• Strong understanding of CNNs, RNNs, Transformers, etc.
• Proficient in Python and scientific libraries (NumPy, SciPy).
• Experience with cloud platforms and distributed training.
• Strong analytical, problem-solving and remote communication skills.

Responsibilities

• Design, implement, and train deep neural networks.
• Optimize model performance for speed and accuracy.
• Conduct rigorous experiments and validation of models.
• Collaborate with researchers to translate ideas into implementations.
• Develop and maintain robust DL pipelines and infra.
• Stay updated with advances in DL and apply them.
• Contribute to AI system architecture and mentor junior engineers.

Skills

Deep learning

Python programming

Cloud computing

Distributed training

Research collaboration

Education

PhD or Master's in CS/ML

Tools

TensorFlow

PyTorch

Keras

NumPy

SciPy

AWS

GCP

Azure

Job description

Placements24 is seeking a Senior Deep Learning Engineer to join a remote-first AI research team. You design, implement, and optimize deep neural networks, collaborating with researchers to turn novel ideas into production-ready solutions. Strong expertise in DL frameworks and cloud-based distributed training is required.

The role emphasizes mentorship, cutting-edge experiments, and developing scalable DL pipelines, with a competitive salary and a culture of innovation for remote talents.