Job Description: 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. [the_ad id="21943"] Job Responsibilities: Brainstorm new ideas and concepts to solve specific use cases. Work with a firehose of customer data. Keep abreast of developments in the machine learning domain. Work with teammates on design and code reviews. Touch all aspects of the business in your domain. Analyze, build, evaluate and productionise machine learning models. Job Requirements: Experience with serving machine learning models, such as TensorFlow Serving or KServe. 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 or MLflow. Bachelor’s Degree in Computer Science, Mathematics, Engineering or a related field or related experience and a minimum of 3 years of Software Development experience along with experience applying machine learning to real-world problems, is required. Experience with TensorFlow, Scikit-learn, PyTorch and Pandas. Experience working within an agile team that is operationally hands-on and an advocate of that culture. Data Mining and Big Data experience. Experience with Elasticsearch. Experience with Linux In the event that a candidate does not have a Bachelor’s Degree or an Advanced Diploma (in Computer Science, Mathematics, Engineering or a related field), an equivalent experience requirement must be met, which equates to a minimum of 6 years of Software Development and Machine Learning experience. Strong understanding of statistical analysis, modeling and machine learning techniques. Experience with Python Experience with BigQuery. Strong knowledge of different types of recommendation systems. Experience building backend systems at scale with a strong focus on data processing and machine learning. Experience with deploying machine learning to production environments. MSc (master of science) or PhD (doctorate). Job Details: Company: Takealot Vacancy Type: Full Time Job Location: Stellenbosch, Western Cape, SA Application Deadline: N/A [the_ad id="21944"] Apply Here jobsrican.com
Jobsrican