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Takealot.com

South African e-commerce retailer and marketplace

Senior Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSouth AfricaNo salary listedIn-person

About the Job

Requirements

  • A degree in Computer Science or Engineering, or a degree in a related field with work experience as a software engineer.
  • Five to ten or more years of experience applying machine learning to real-world problems or five to ten or more years of commercial software development experience.
  • Strong understanding of statistical analysis, modeling, and machine learning techniques.
  • Experience working within an agile team that is operationally hands-on and an advocate of that culture.
  • Experience with Python, Linux, BigQuery, TensorFlow, Scikit-learn, PyTorch, and Pandas.
  • Experience building scalable data processing pipelines for machine learning workflows.
  • Experience deploying machine learning to production environments.
  • Data mining and big data experience.

Responsibilities

  • Work with large volumes of customer data.
  • Analyze, build, evaluate, and productionize machine learning models.
  • Work across all aspects of the business in the role's domain.
  • Brainstorm ideas and concepts to solve specific use cases.
  • Work with teammates on design and code reviews.
  • Keep abreast of developments in the machine learning domain.

Desired Qualifications

  • Experience with cloud-based platforms such as Google Cloud Platform or Amazon Web Services.
  • Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, SageMaker Pipelines, or GCP Vertex AI/Gemini Enterprise Agent Platform Pipelines.
  • Experience serving machine learning models using TensorFlow Serving, KServe, or managed serving solutions such as AWS SageMaker Endpoints and GCP Vertex AI/Gemini Enterprise Agent Platform Endpoints.
  • Experience designing and executing large-scale large language model prompt pipelines for automated tasks such as classification and data extraction.

About the Company

Takealot.com

South African e-commerce retailer and marketplace

Takealot.com is a South African online retailer and marketplace offering electronics, fashion, home goods and more to consumers, with products sold from its own warehouses and via a marketplace for over 10,000 third-party sellers. It works through a dual revenue model: selling items from its inventory and earning commissions from marketplace sellers, backed by a logistics network of distribution centers and a driver fleet that supports same-day and next-day delivery, plus pickup points and its in-house Takealot Delivery Team and Mr D Food for on-demand orders. The company differentiates itself with an integrated logistics platform, a wide product catalog, and strategic acquisitions (Superbalist; Mr Delivery/Mr D) and a merger with Kalahari.com, supported by Naspers’ stake. Its goal is to be the most customer-centric online shopping destination in Africa, prioritizing convenience, fast delivery, and a trusted catalog for shoppers.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$215.2M
Headquarters
Cape Town, South Africa
Founded
2011

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