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TTakealot Group
Cape Town, South Africa4 months ago
Grade
Senior
Experience
from 5 years
Work format
Remote, Hybrid
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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.
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
Tech stack (for days): Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come
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:
The skills and attributes we need:
Qualifications & Preferred Experience:
Bonus Skills and Experience:
Let’s talk about life @ Takealot Group
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.
We compare skills, grade, work format and salary
Most often 54,800 to 76,700
