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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** MRND LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, BigQuery, Customer Data Management, Data Mining, Linux, Python (Programming Language), Machine Learning, Team Foundation Server, Commercial Software, Tensorflow, DataOps, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Pandas, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** August 26, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pfe0jsk5hm ## About the Role * Be creative * Be flexible * Be a team player * Be data-oriented * Take pride in your work * Be a good communicator, * 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. Preferred 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 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. ## Description * 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 (TFS). 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: * Work with a firehose of customer data. * Analyse, 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. ## Related Videos - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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