Remote Data Scientist — ML & MLOps for AI Solutions

Quik Hire Staffing; South Africa; Remote; ZAR 600,000 - 900,000; Full time

Job summary

Quik Hire Staffing seeks a Data Scientist (ML) for a full-time, remote role. You will design, train, and deploy machine learning models to improve predictive accuracy across client datasets, collaborating with cross-functional teams to automate workflows.

Key responsibilities include preprocessing large datasets, developing reproducible experiments with Python and Jupyter, and presenting actionable insights with clear visualizations.

Qualifications

• Strong experience building ML models (classification, regression, clustering).
• Proficient in Python and ML libraries; solid SQL skills.
• Experience with Cloud deployment (AWS/GCP/Azure).
• Ability to work independently in a remote setup.

Responsibilities

• Design, train, and optimize ML models for classification, regression, and clustering tasks.
• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.
• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.
• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.
• Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Skills

Python

SQL

Statistical modeling

Remote work

Tools

scikit-learn

TensorFlow

PyTorch

Jupyter Notebooks

Version control

Job description

We are hiring for one of our clients, seeking a Data Scientist (ML) to work on a Full-Time basis. The role involves developing and deploying machine learning models to improve predictive accuracy for client datasets. You will collaborate with cross-functional teams to identify data-driven solutions and automate workflows.

Key Responsibilities:

• Design, train, and optimize machine learning models for classification, regression, and clustering tasks.

• Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.

• Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.

• Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.

• Present findings and recommendations to stakeholders through clear visualizations and technical reports.

Required Skills & Qualifications:

• Proficiency in Python and relevant libraries such as scikit-learn, TensorFlow, or PyTorch.

• Experience with SQL for data extraction, transformation, and analysis.

• Strong background in statistical modeling and experimental design.

• Familiarity with cloud platforms including AWS, GCP, or Azure for model deployment.

• Ability to work independently in a remote environment with minimal supervision.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability of AI-driven solutions. You will gain exposure to cutting-edge tools and collaborate with experts in data science and engineering.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.