Software Engineer; Machine Learning
South Africa
Listed on 2026-01-18
-
Software Development
Machine Learning/ ML Engineer
, South Africa’s leading online retailer, is looking for a highly talented Machine Learning Engineer to join our team. We are a young, dynamic, hyper‑growth company looking for smart, creative, hard‑working people with integrity to join us!
Think you’ve been challenged before? Think again!
- Scale
: 4 million happy shoppers shop online on and 2.7 million on Mr
D. Show them what you can do. - Learn
:
We work with the best of the best, and then some. Work alongside industry leaders and up‑skill in record time. - Grow
:
Expand your career in the fast‑growing Takealot Group: and Mr
D. We like to promote from within:
Here’s your chance.
This position reports to the respective Engineering Manager for that team.
We are looking for an experienced
Machine Learning Engineer to join one of our versatile and creative development teams.
As a Machine Learning Engineer, your expertise directly translates into the development of robust machine learning models in the e‑commerce domain
. You come from a development background with an emphasis on applied
machine learning
. You will have the opportunity to implement best practices to improve the existing machine learning models and participate in the development of new ones.
This is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on 's ambitious development roadmap.
Your responsibilities will include:
- Work with a firehose of customer data.
- Analyze, build, evaluate, and product ionise machine learning models.
- Touch all aspects of the business in your domain.
- Brainstorm new 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.
The skills and attributes we need:
- Be creative
- Be flexible
- Be a team player
- Be data‑oriented
- Take pride in your work
Qualifications &
Preferred Experience:
- Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).
- 3 to 7 years of experience applying machine learning to real‑world problems for a mid‑level role
- 5 to 10+ years of experience applying machine learning to real‑world problems for a senior‑level role
- 3 to 7 years of commercial software development experience for a mid‑level role
- 5 to 10+ years of commercial software development experience for a senior‑level role
- Strong understanding of statistical analysis, modeling, and machine learning techniques.
- Strong knowledge of different types of recommendation systems.
- Experience building backend systems at scale with a strong focus on data processing and machine learning.
- Experience working within an agile team that is operationally hands‑on and an advocate of that culture.
- Experience with Python
- Experience with Linux
- Experience with Big Query.
- Experience with Tensor Flow, Scikit‑learn, PyTorch, and Pandas.
- Experience with deploying machine learning to production environments.
- Data Mining and Big Data experience.
Bonus
Skills and Experience:
- MSc (master of science) or PhD (doctorate).
- Experience with cloud‑based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).
- Experience with Elasticsearch.
- Experience with end‑to‑end machine learning frameworks such as Kubeflow, Tensor Flow Extended, or MLflow.
- Experience with serving machine learning models, such as Tensor Flow Serving or KServe.
Let’s talk about life @ Takealot Group
- The power is in your hands
:
We offer a market‑related, Total Remuneration Package that allows full flexibility according to your needs. Go on, be the master of your own destiny. - No doors
:
We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great. - Remote working
:
Love water cooler chats and working from home? offers a remote or hybrid working model for the best of both worlds. - Mentorship programme
:
We aren’t kidding when we say the people with the best people win. Now’s your chance to be one of the best by learning from the best. - Naspers Tech Community & Online Learning
:
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