Takealot Group logo

Takealot Group

Senior Machine Learning Engineer

South Africa full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

Mr D, a division of the Takealot Group, is looking for a highly talented Senior 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: Millions of happy shoppers use 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: takealot.com, Mr D & Takealot Fulfilment Solutions. We like to promote from within: Here’s your chance. 

This position reports to the Machine Learning Engineering Manager.

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 Mr D’s  ambitious development roadmap.

Your responsibilities will include:

Work with a firehose of customer data.

Analyze, build, evaluate, and productionise 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

Be a good communicator

Qualifications & Preferred Experience:

Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).

5 to 10+ years of experience applying machine learning to real-world problems OR

5 to 10+ 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

Experience with Linux

Experience with BigQuery.

Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas.

Experience building scalable data processing pipelines for machine learning workflows.

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 end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or  GCP VertexAI/Gemini Enterprise Agent Platform Pipelines.

Experience with serving machine learning models, such as TensorFlow Serving, KServe, or managed serving solutions such as AWS Sagemaker Endpoints and GCP VertexAI/ Gemini Enterprise Agent Platform Endpoints.

Experience designing and executing large-scale LLM prompt pipelines for automated tasks such as classification and data extraction.

Let’s talk about life @ Takealot Group

Free takealotMORE subscription

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? Takealot.com 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: Share ideas and grow with global industry leaders who are all just a Slack message away. Love to learn? Upskill with free access to courses on MyAcademy, Udacity, Coursera, and more.

Good times: Get to know the other extraordinary minds at takealot.com during regular social events and out-of-office activities (think hikes, think mini golf, think good times).

Staff discount. Millions of products across 28 departments. What more could you ask for?

Birthday leave: Cake Day all the way. Enjoy your day off - you deserve it. 

Right tools, right job: You’ll work on the latest tech

Help when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere. 

Tech stack (for days): Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come.

Free parking: No more 5km fun runs to your desk (unless you want to). 

Like what you see? 

If you meet the above, you are an Extraordinary Mind. Apply today!!

Mr D is an Equal Opportunity Employer. Applicants from previously disadvantaged groups and people with disabilities will be given preference.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Project Management Python Remote Collaboration Senior Machine Mid level

Likely questions

  1. Tell us about work you have done that is close to the Senior Machine Learning Engineer role.
  2. How would you approach your first 30 days at Takealot Group?
  3. Which of Project Management, Python and Remote Collaboration have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Project Management, Python and Remote Collaboration.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Machine Learning Engineer role because I can bring practical experience in Project Management, Python and Remote Collaboration, learn the team quickly, and contribute to the outcomes Takealot Group needs from this hire.

Related jobs.

More roles from this company or category.