Senior Machine Learning Engineer

• 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.

• 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.

• 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!!