{"id":796709,"url":"https://alion.io/job/takealotgroup-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":685918,"name":"Takealot Group","domain":"takealotgroup.com","url":"https://alion.io/company/takealotgroup","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":9,"ghost_share":0,"stale_share":0.444,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa","South Africa"],"countries":["ZA"],"hiring_countries":["ZA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":77000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Agile","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"BigQuery","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Google BigQuery","optional":true},{"name":"KServe","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"MQTT","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Redis","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Slack","optional":true},{"name":"TensorFlow","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-22T14:35:30Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-16T04:41:50Z","board_verified":true,"closed_at":null,"days_open":85,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":85},"description":"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!\nThink you’ve been challenged before? Think again!\nScale: Millions of happy shoppers use Mr D. Show them what you can do.\nLearn: We work with the best of the best, and then some. Work alongside industry leaders and up-skill in record time. \nGrow: 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. \nThis position reports to the Machine Learning Engineering Manager.\nAs 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. \nThis is an exciting opportunity to contribute to a growing and dynamic team of machine learning engineers working on Mr D’s ambitious development roadmap.\nYour responsibilities will include:\nWork with a firehose of customer data.\nAnalyze, build, evaluate, and productionise machine learning models.\nTouch all aspects of the business in your domain.\nBrainstorm new ideas and concepts to solve specific use cases.\nWork with teammates on design and code reviews.\nKeep abreast of developments in the machine learning domain.\nThe skills and attributes we need: \nBe creative\nBe flexible\nBe a team player\nBe data-oriented\nTake pride in your work\nBe a good communicator\nQualifications & Preferred Experience:\nDegree in Computer Science or Engineering (alternatively, a degree in a related field with work experience as a software engineer).\n5 to 10+ years of experience applying machine learning to real-world problems OR\n5 to 10+ years of commercial software development experience\nStrong understanding of statistical analysis, modeling, and machine learning techniques.\nExperience working within an agile team that is operationally hands-on and an advocate of that culture.\nExperience with Python\nExperience with Linux\nExperience with BigQuery.\nExperience with TensorFlow, Scikit-learn, PyTorch, and Pandas.\nExperience building scalable data processing pipelines for machine learning workflows.\nExperience with deploying machine learning to production environments.\nData Mining and Big Data experience.\nBonus Skills and Experience:\nMSc (master of science) or PhD (doctorate).\nExperience with cloud-based platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).\nExperience with end-to-end machine learning frameworks such as Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines or GCP VertexAI/Gemini Enterprise Agent Platform Pipelines.\nExperience 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.\nExperience designing and executing large-scale LLM prompt pipelines for automated tasks such as classification and data extraction.\nLet’s talk about life @ Takealot Group\nFree takealotMORE subscription\nNo doors: We aren’t fans of stuffy offices or siloed work environments. See someone you like? High five, collab, and make something great.\nRemote working: Love water cooler chats and working from home? Takealot.com offers a remote or hybrid working model for the best of both worlds.\nMentorship 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.\nNaspers 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.\n 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).\nStaff discount. Millions of products across 28 departments. What more could you ask for?\nBirthday leave: Cake Day all the way. Enjoy your day off - you deserve it. \nRight tools, right job: You’ll work on the latest tech\nHelp when you need it most: Confidential counselling, legal support, and financial guidance, for free, anytime, anywhere. \n Tech stack (for days): Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT and all things machine learning. If you build it, they will come.\n Free parking: No more 5km fun runs to your desk (unless you want to). \nLike what you see? \nIf you meet the above, you are an Extraordinary Mind. Apply today!!\nMr D is an Equal Opportunity Employer. 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