Senior Machine Learning Engineer

About this role

<p><strong>Mr D, </strong>a division of the Takealot Group, is looking for a highly talented <strong>Senior</strong> <strong>Machine Learning Engineer </strong>to join our team. We are a young, dynamic, hyper-growth company looking for smart, creative, hard-working people with integrity to join us!</p> <p><strong>Think you’ve been challenged before? Think again!</strong></p> <ul> <li><strong>Scale</strong>: Millions of happy shoppers use Mr D. Show them what you can do.</li> <li><strong>Learn</strong>: We work with the best of the best, and then some. Work alongside industry leaders and up-skill in record time.&nbsp;</li> <li><strong>Grow</strong>: Expand your career in the fast-growing Takealot Group: <a href="http://takealot.com">takealot.com</a>, Mr D &amp; Takealot Fulfilment Solutions. We like to promote from within: Here’s your chance.&nbsp;</li> </ul> <p><strong>This position reports to the Machine Learning Engineering Manager.</strong></p> <p>As a Machine Learning Engineer, your expertise directly translates into the <strong>development of robust machine learning models in the e-commerce domain</strong>. You come from a development background with an emphasis on <strong>applied</strong> <strong>machine learning</strong>. You will have the opportunity to implement best practices to improve the existing machine learning models and participate in the development of new ones.&nbsp;</p> <p>This is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on Mr D’s&nbsp; ambitious development roadmap.</p> <p><strong>Your responsibilities will include:</strong></p> <ul> <li>Work with a firehose of customer data.</li> <li>Analyze, build, evaluate, and productionise machine learning models.</li> <li>Touch all aspects of the business in your domain.</li> <li>Brainstorm new ideas and concepts to solve specific use cases.</li> <li>Work with teammates on design and code reviews.</li> <li>Keep abreast of developments in the machine learning domain.</li> </ul> <p><strong>The skills and attributes we need:&nbsp;</strong></p> <ul> <li>Be creative</li> <li>Be flexible</li> <li>Be a team player</li> <li>Be data-oriented</li> <li>Take pride in your work</li> <li>Be a good communicator</li> </ul> <p><strong>Qualifications &amp; Preferred Experience:</strong></p> <ul> <li>Degree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).</li> <li>5 to 10+ years of experience applying machine learning to real-world problems OR</li> <li>5 to 10+ years of commercial software development experience</li> <li>Strong understanding of statistical analysis, modeling, and machine learning techniques.</li> <li>Experience working within an agile team that is operationally hands-on and an advocate of that culture.</li> <li>Experience with Python</li> <li>Experience with Linux</li> <li>Experience with BigQuery.</li> <li>Experience with TensorFlow, Scikit-learn, PyTorch, and Pandas.</li> <li>Experience building scalable data processing pipelines for machine learning workflows.</li> <li>Experience with deploying machine learning to production environments.</li> <li>Data Mining and Big Data experience.</li> </ul> <p><strong>Bonus Skills and Experience:</strong></p> <ul> <li>MSc (master of science) or PhD (doctorate).</li> <li>Experience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).</li> <li>Experience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or&nbsp; GCP VertexAI/Gemini Enterprise Agent Platform Pipelines.</li> <li>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.</li> <li>Experience designing and executing large-scale LLM prompt pipelines for automated tasks such as classification and data extraction.</li> </ul> <p><strong>Let’s talk about life @ Takealot Group</strong></p> <ul> <li><strong>Free </strong>takealotMORE subscription</li> <li><strong>No doors</strong>: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.</li> <li><strong>Remote working</strong>: Love water cooler chats and working from home? Takealot.com offers a remote or hybrid working model for the best of both worlds.</li> <li><strong>Mentorship programme</strong>: 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.</li> <li><strong>Naspers Tech Community</strong> <strong>&amp; Online Learning</strong>: 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.</li> <li><strong>Good times</strong>: 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).</li> <li><strong>Staff discount</strong>. Millions of products across 28 departments. What more could you ask for?</li> <li><strong>Birthday leave</strong>: Cake Day all the way. Enjoy your day off - you deserve it.&nbsp;</li> <li><strong>Right tools, right job</strong>: You’ll work on the latest tech</li> <li><strong>Help when you need it most</strong>: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere.&nbsp;</li> <li><strong>Tech stack (for days): </strong>Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come.</li> <li><strong>Free parking: </strong>No more 5km fun runs to your desk (unless you want to).&nbsp;</li> </ul> <p><strong>Like what you see?&nbsp;</strong></p> <p>If you meet the above, you are an <strong>Extraordinary