Deep Learning Data Scientist - Remote in Randburg

Placements24; Southampton; Remote; GBP 41,000 - 63,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Retirement fund benefits

Performance-based bonuses

Professional growth opportunities

Remote work flexibility

Job summary

Placements24 in Randburg, Gauteng is seeking a highly skilled Data Scientist with Deep Learning expertise to develop and deploy advanced models for image recognition, NLP, and time-series forecasting.

You will work with Python and libraries (TensorFlow, PyTorch, Keras) and collaborate with domain experts to translate business problems into data-driven solutions, delivering production-ready models and insights.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• Proven experience as a Data Scientist with a strong focus on deep learning.
• Proficiency in Python and deep learning libraries (TensorFlow, PyTorch, Keras).
• Solid understanding of ML algorithms, statistical modeling, and data mining.

Responsibilities

• Design, develop, and implement deep learning models for classification, NLP, CV, and time-series.
• Preprocess and analyze large, complex datasets to identify patterns and insights.
• Train, evaluate, and fine-tune models using TensorFlow, PyTorch, or Keras.
• Collaborate with domain experts to translate business problems into data science solutions.
• Deploy models into production environments with MLOps collaboration.
• Stay current with the latest deep learning research and communicate results clearly.

Skills

Deep Learning

Python

TensorFlow

PyTorch

Keras

Data Analysis

Communication

Education

Master's or Ph.D. in Computer Science/Statistics/Data Science

Tools

Pandas

NumPy

Spark

AWS/Azure/GCP

Job description

Placements24 in Randburg, Gauteng is seeking a highly skilled Data Scientist with Deep Learning expertise to develop and deploy advanced models for image recognition, NLP, and time-series forecasting.

You will work with Python and libraries (TensorFlow, PyTorch, Keras) and collaborate with domain experts to translate business problems into data-driven solutions, delivering production-ready models and insights.