Senior Deep Learning Engineer — AI R&D Innovator

Placements24; Upington; On-site; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Health and wellness benefits

Retirement savings plan

Growth opportunities

Job summary

Placements24 is seeking a Deep Learning Engineer to join its R&D team. The role involves designing, implementing, and optimizing deep learning models for diverse applications, working with large datasets and state-of-the-art architectures.

You will collaborate with researchers and engineers to deploy DL solutions in production. The ideal candidate has a strong foundation in deep learning, 3+ years of hands-on experience, and proficiency in Python and major DL frameworks.

Qualifications

• Master's or Ph.D. in Computer Science, AI or related field.
• 3+ years of hands-on deep learning research and development.
• Strong programming skills in Python and deep learning frameworks.
• Solid understanding of CNNs, RNNs, Transformers and optimization techniques.
• Experience with data manipulation and model deployment is a plus.

Responsibilities

• Develop, train, and evaluate deep learning models for image, NLP, or predictive tasks.
• Implement and optimize neural networks using TensorFlow, PyTorch, or Keras.
• Preprocess and manage large-scale datasets for training and validation.
• Collaborate with AI researchers and software engineers to deploy DL solutions.
• Stay updated with the latest AI research and advancements.

Skills

Python programming

Deep learning

DL frameworks

CNNs/RNNs/Transformers

Data manipulation

Model deployment

Education

Master's or PhD in CS/AI

Tools

TensorFlow

PyTorch

Keras

Job description

Placements24 is seeking a Deep Learning Engineer to join its R&D team. The role involves designing, implementing, and optimizing deep learning models for diverse applications, working with large datasets and state-of-the-art architectures.

You will collaborate with researchers and engineers to deploy DL solutions in production. The ideal candidate has a strong foundation in deep learning, 3+ years of hands-on experience, and proficiency in Python and major DL frameworks.