Remote Data Scientist - AI/ML & MLOps

Quik Hire Staffing; South Africa; A distancia; ZAR 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

Quik Hire Staffing is seeking a Data Scientist (ML) to design, train, and deploy machine learning models on a full-time basis. You will preprocess large datasets, develop MLOps pipelines, and collaborate with cross-functional teams to deliver data-driven solutions.

The role emphasizes remote work with minimal supervision and opportunities to present findings to stakeholders. Ideal candidates will have strong Python experience, SQL proficiency, and a solid background in statistical modeling and

Formación

• Proficiency in Python and 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.

Responsabilidades

• 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.

Conocimientos

Python

SQL

Statistical modeling

Experiment design

Remote work ability

Herramientas

scikit-learn

TensorFlow

PyTorch

Jupyter notebooks

Git / version control

AWS / GCP / Azure

Descripción del empleo

Quik Hire Staffing is seeking a Data Scientist (ML) to design, train, and deploy machine learning models on a full-time basis. You will preprocess large datasets, develop MLOps pipelines, and collaborate with cross-functional teams to deliver data-driven solutions.

The role emphasizes remote work with minimal supervision and opportunities to present findings to stakeholders. Ideal candidates will have strong Python experience, SQL proficiency, and a solid background in statistical modeling and