Job Description

Value Proposition The Shoprite Group is Africa's largest fast-moving consumer goods retailer with over 35 million customers and 2,500 outlets. Our customers are at the heart of what we do, and our sole purpose is to provide all communities with high quality products at the most affordable prices. Within such a dynamic environment, innovation and the effective application of technology are becoming essential to maintain a competitive position. We continue to invest in being a technologically innovative and enabled business. You will be part of delivering complex machine learning and data solutions to some of the most recognized retail brands in South Africa. You will be surrounded by teams and individuals who challenge you and inspire you to be extraordinary. Are you ready to make an impact? Role Purpose The purpose of the Machine Learning Engineer II is to apply in-depth computer science (including data structures, algorithms, computability and complexity) statistical modeling, and software engineering in machine learning operations (MLOps) to build cutting edge, end-to-end ML data models from ideation to deployment and scalability. The Machine Learning Engineer II is a core member of the data science and innovation team that supports the development of solutions to enable the Group increase efficiencies, reduce costs, identify opportunities that generate value and drive data as a competitive advantage. The role requires extensive experience in a range of software development and programming fields to design self-running software to automate predictive models while delivering features in a highly agile manner. Role Description

• Liaise with stakeholders to analyze business problems, translate business requirements into conceptual and detailed system architecture and technology solutions.
• Collaborate within a cross-functional team of Data Scientists, Engineers and Analysts in order to understand project goals, and build, implement and scale-up algorithms for measurable impact.
• Display basic understanding of ANN's, CNN's, RNN's, autoencoders, fundamental data science concepts (linear and logistic regression, SVM's, dimensionality reduction), decision trees, gradient boosting, ensemble models, etc. to develop machine learning models.
• Work with above architectures within deep learning frameworks such as Keras and TensorFlow.
• Demonstrate end-to-end understanding of relevant applications and/or systems (including, but not limited to, the machine learning algorithms) being created.
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
• Use data modelling and evaluation strategy to find patterns and predict unseen instances.

• Train models on large-scale data and fine tune hyper-parameters.
• Research and implement appropriate machine learning algorithms and tools by selecting the correct libraries, programming languages and frameworks for each task.
• Apply understanding of theoretical frameworks in computer science fundamentals, including data structures, algorithms, computability, complexity and computer architecture.
• Keep abreast of technological developments in the field, and integrate the latest data technologies into existing requirements.
• Follow best practices and standards of machine learning operations (MLOps) workflows for data preparation, deployment, monitoring and retraining to enable agile application methods to projects, and support machine learning models and data sets within a CI/CD process.

Qualifications and Experience

• Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems or a related field xe2x80x93 (essential).
• Post Graduate Degree in the above or related fields xe2x80x93 (desired).
• +3 years' experience in a Machine Learning Engineer or similar role, applying complex mathematical and statistical concepts to build machine learning or deep learning models and/or systems - (essential).
• In-depth experience with common machine learning, data, math and visualization libraries (i.e. Pandas, pyTorch, SciPy, NumPy, Scikit-Learn etc.) - (essential).
• Practical experience developing Machine Learning & NLP solutions over opensource platforms such as (TensorFlow, SparkML, OpenCV, pyTorch, etc.) - (essential).
• In-depth experience with different coding environments (local, notebooks, containers) and software engineering workflows (testing, code management/Git) - (essential).
• Good proficiency in MS Office 365 and advanced Excel skills xe2x80x93 (essential).
• Understanding of Machine Learning Operations (MLOps) in the end-to-end machine learning development process to design and build reproducible, testable and evolvable machine learning solutions to meet business needs - (desirable).
• Knowledge of relational databases as SQL, MySQL - (essential).
• Practical knowledge and experience working in a cloud environment (AWS, Azure, GCP) and containerized environment (Mesos, Kubernetes, Docker) and CI/CD (Jenkins, AWS Code Pipelines) - (desirable).
• Experience delivering project outcomes using design thinking, lean and agile principles xe2x80x93 (desired).
• Experience in a retail, commercial or IT environment xe2x80x93 (desired).

Key competencies and work ethic

• A skilled programmer who develops machines and systems that can learn and apply knowledge without specific direction.
• Analytical thinking skills and highly numerate xe2x80x93 Able to collect, organise and assimilate disparate, multiple and complex pieces of data to draw sound conclusions and arrive at optimal solutions.
• Strong technical aptitude with a passion and excitement for data, new technologies and solutions and its range of possibilities, applications and value for the business.
• High level of self-motivation and drive to meet and exceed on goals and expectations. Able to work independently and use own initiative to deal with challenges across a range of problem-solving challenges as and when they arise.
• Detailed, organised and quality focused xe2x80x93 Has an affinity for detail, structure and efficiency, balancing planning and execution. Is diligent and vigilantly watches over work processes, tasks and outputs to ensure accuracy while independently actioning and correcting any quality concerns.
• Strong communication skills xe2x80x93 Ability to communicate effectively both verbally and in writing. Able to explain and simply complex technical concepts and confidently convey information to a variety of stakeholders.
• Team player and collaborative partner - Works effectively across functions and as part of a multi-disciplinary team. Is collaborative and able to build sound, professional relationships with internal and external stakeholders.
• Ability to work under pressure and under tight time constraints, efficiently prioritising workloads, balancing multiple and competing priorities and managing time effectively in a high-volume, fast-moving environment.
• Is curious and open to learning with a strong interest in data, discovery and trying new ideas. Curious about exploring and answering business analytics questions.

Our Group is committed to creating, embracing, and preserving a diverse workplace that values the unique talents, perspectives, backgrounds, and abilities that enrich our organisation. A place where everyone matters and feels included. We are committed to Employment Equity when recruiting internally and externally. Please take note that by responding to this application and providing your personal information, you confirm your express and informed consent for Shoprite Checkers (Pty) Ltd and all its subsidiaries and affiliates companies to process your personal information for the Company to consider your application for this position. All Personal Information which you provide to the Company will be used and/or retained only for the purposes for which it is collected, whereafter it will be permanently destroyed. Your information is only retained if it is required by law or where you have given consent to us to retain such information for an extended period. If you don't hear from us within 14 days, please consider your application unsuccessful. Any personal information collected as part of your application will be destroyed, securely, in accordance with South African legislation.