AI Deep Learning Research Scientist - Hybrid, Sandton

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Conference funding

Health coverage

Retirement contributions

Paid time off

Growth opportunities

Job summary

Placements24 is seeking an AI Data Scientist with a Deep Learning specialization to join our client in Sandton, Gauteng. You will push AI boundaries by developing novel models and algorithms to solve real-world problems.

The role involves researching architectures, training models for vision/NLP/recommendation systems, and deploying solutions with a production mindset. Strong collaboration and publication mindset are valued.

Qualifications

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Proven experience in deep learning research and development with a strong portfolio of projects.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Solid understanding of machine learning principles, algorithms, and statistical modeling.

Responsibilities

• Conduct research and development in deep learning, exploring new architectures and techniques.
• Design, build, and train deep learning models for computer vision, NLP, or recommendation systems.
• Analyze large-scale datasets to extract insights for model development.
• Implement and optimize deep learning models for performance and scalability.
• Collaborate with engineers and product managers to deploy models into production.

Skills

Deep learning

Python

TensorFlow

PyTorch

Keras

Education

PhD or MSc in CS/AI/ML/Statistics

Tools

TensorFlow

PyTorch

Keras

Pandas

NumPy

Job description

Placements24 is seeking an AI Data Scientist with a Deep Learning specialization to join our client in Sandton, Gauteng. You will push AI boundaries by developing novel models and algorithms to solve real-world problems.

The role involves researching architectures, training models for vision/NLP/recommendation systems, and deploying solutions with a production mindset. Strong collaboration and publication mindset are valued.