Machine Learning Engineer (Recommendation Systems)

Cape Town, Stellenbosch or Johannesburg

Applications have closed

takealot.com

South Africa's leading online store. Fast, reliable delivery to your door. Many ways to pay. Shop anything you can imagine: TVs, laptops, cellphones, kitchen appliances, toys, books, beauty & more. Shop the mobile app anytime, anywhere.

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Takealot.com, South Africa’s leading online retailer, is looking for a highly talented Machine Learning Engineer to join our team in Cape Town. 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: Over 2.5 million happy shoppers shop online on takealot.com. Show them what you can do.
  • Learn: We work with the best of the best, and then some. Code alongside industry leaders using cutting-edge technology, and upskill in record time.
  • Grow: Expand your career in the fast-growing Takealot Group: takealot.com, Superbalist.com and Mr D Food. 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 Takealot.com'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:

  • Bachelor’s Degree in Computer Science, Mathematics, Engineering or a related field or related experience and a minimum of 3 years of Software Development experience along with experience applying machine learning to real-world problems, is required.
  • In the event that a candidate does not have a Bachelor’s Degree or an Advanced Diploma (in Computer Science, Mathematics, Engineering or a related field), an equivalent experience requirement must be met, which equates to a minimum of 6 years of Software Development and Machine Learning experience.
  • 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 BigQuery.
  • Experience with TensorFlow, Scikit-learn, PyTorch and Pandas.
  • Experience with deploying machine learning to production environments.
  • Data Mining and Big Data experience.
  • Experience with open source recommendation tools, e.g. TensorFlow Recommenders, TensorFlow Ranking.

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, TensorFlow Extended or MLflow.
  • Experience with serving machine learning models, such as TensorFlow Serving or KServe.

Let’s talk about life @ Takealot Group

  • The power is in your hands: We offer a market-related, Total Remuneration Package which 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? Takealot.com offers a 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? Up-skill 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: Mac or Windows, two monitors or one? Whatever your preference, you’ll work on the latest tech, off the latest tech.
  • Help when you need it most: Confidential counseling, legal support and financial guidance, for free, anytime, anywhere. 
  • Tech stack (for days): ReactJS, Python, Scala, Kotlin, Swift, Google Cloud, Kafka, Redis, Kubernetes 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!

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

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Big Data BigQuery Computer Science Data Mining E-commerce Elasticsearch Engineering Firehose GCP Google Cloud Kafka Kubernetes Linux Machine Learning Mathematics MLFlow ML models Open Source Pandas PhD Python PyTorch Scala Scikit-learn TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Startup environment Team events

Region: Africa
Country: South Africa
Job stats:  8  1  0

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