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WELCOME TO SUPERBALIST Here it is – the site where you can shop the world’s best brands shipped quickly, easily and free-of-charge, to your door. Our multichannel platform, including the Superbalist App and our blog, The Way of Us, serves the latest in trends and style advice to 1.5 million registered subscribers daily. What we do From fashion...
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We think big, and follow through!
Scale: Over 650,000 happy shoppers shop online on Superbalist.com. Show them what you can do.
Learn: We work with the best of the best, and then some. Code alongside industry leaders 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.
Who’s who
This position reports to Engineering Team Lead (Machine Learning)
The high level
Work with a fire-hose of data
Build state-of-the-art statistical models
Touch all aspects of the business
Brainstorm new ideas and concepts
Work with teammates on design, and code reviews
Build real time systems that integrate with the rest of our stack
Your qualifications & experience
Computer Science degree (alternatively a degree in a related field with work experience as a software engineer)
Strong Mathematical or Statistical experience
3 years experience applying machine learning to real-world problems, preferably in a commercial environment
Testing and monitoring techniques on performance and model quality
Analytical mind and business acumen
Resource management and optimization techniques
Areas of mastery
Machine learning pipelines
Python, Tensorflow, scikit-learn, and/or Panda’s experience
Bonus Points
MSc (or even PhD)
Automated deployments, scaling, and resource management
BigQuery, Elasticsearch and/or MySQL
Docker, Kubernetes
Event driven architecture (PubSub/Kafka)
Experience with e-commerce based applications
The skills we need
Be creative
Be flexible
Be data oriented
Take pride in your work
Comfortable using open source technologies
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