Fast-paced retail technology business seeks a skilled Machine Learning Engineer / MLOps Engineer to build scalable, production-ready AI and machine learning solutions.
Location: Cape Town – Northern Suburbs An exciting opportunity is available for a skilled Machine Learning Engineer / MLOps Engineer to join a fast-paced Data Solutions environment within a leading retail technology business.
This role is ideal for a technically strong professional who enjoys building scalable, production-ready AI and machine learning solutions that deliver measurable business value. The successful candidate will play a key role in bridging the gap between Data Science and Engineering by deploying, automating, and maintaining robust ML systems within a modern cloud-based environment. Design, build, and maintain scalable machine learning pipelines and production ML systems. Develop backend services and APIs in Python to integrate ML models into business applications.
Implement and manage end-to-end MLOps processes including model training, testing, deployment, monitoring, and optimisation. Develop and optimise feature extraction processes and reusable Feature Store solutions. Monitor and maintain advanced analytics systems to ensure operational stability and performance. Required Skills & ExperienceExperience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Exposure to cloud platforms such as GCP, AWS, or Azure. Strong understanding of MLOps principles and CI/CD practices for machine learning systems. Ability to translate business requirements into scalable technical solutions. Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or a related quantitative field.
Minimum 3+ years’ practical experience within Machine Learning Engineering, MLOps, or related AI engineering environments. What’s on OfferExposure to modern cloud and machine learning technologies. Hybrid working model based in Cape Town’s Northern Suburbs.
Machine Learning Engineer Mlops Engineer Data Solutions Retail Technology Cape Town Northern Suburbs Hybrid Working Model Cloud Platforms Machine Learning Frameworks Data Science Computer Science Engineering Quantitative Field Experience Skills Business Requirements Scalable Technical Solutions Mlops Principles CI/CD Practices Advanced Analytics Systems Operational Stability Performance
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Machine Learning Engineer / MLOps Engineer Job Opportunity at Leading Retail Technology BusinessThe successful candidate will play a key role in bridging the gap between Data Science and Engineering by deploying, automating, and maintaining robust ML systems within a modern cloud-based environment. They will design, build, and maintain scalable machine learning pipelines and production ML systems, develop backend services and APIs in Python to integrate ML models into business applications, implement and manage end-to-end MLOps processes including model training, testing, deployment, monitoring, and optimization, and develop and optimize feature extraction processes and reusable Feature Store solutions.
Read more »