About the position
Location: Cape Town - Northern Suburbs (Hybrid)
Contract Type: 12-Month Contract
Overview
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.
Key Responsibilities
- Design, build, and maintain scalable machine learning pipelines and production ML systems.
- Productionalise machine learning models to ensure reliability, scalability, and performance.
- 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.
- Work within cloud infrastructure environments, primarily Google Cloud Platform (GCP).
- Develop and optimise feature extraction processes and reusable Feature Store solutions.
- Collaborate closely with Data Scientists, Data Engineers, and cross-functional Agile teams.
- Monitor and maintain advanced analytics systems to ensure operational stability and performance.
- Drive automation and continuous improvement within the ML engineering ecosystem.
Required Skills & Experience
- Strong hands-on Python development experience.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Practical experience with Docker and Kubernetes container technologies.
- Exposure to cloud platforms such as GCP, AWS, or Azure.
- Experience working with relational and NoSQL databases.
- Strong understanding of MLOps principles and CI/CD practices for machine learning systems.
- Experience working within Agile delivery environments.
- Ability to translate business requirements into scalable technical solutions.
Qualifications
- Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related quantitative field.
Experience Required
- Minimum 3+ years' practical experience within Machine Learning Engineering, MLOps, or related AI engineering environments.
- Proven experience building and deploying enterprise-scale ML solutions in production environments.
What's on Offer
- Opportunity to work on enterprise-scale AI and advanced analytics initiatives.
- Exposure to modern cloud and machine learning technologies.
- Collaborative, innovative, and delivery-focused environment.
- Hybrid working model based in Cape Town's Northern Suburbs.
Desired Skills:
Desired Work Experience:
- Less than 1 year Investments, Insurance & Assurance
- 2 to 5 years Software Development
Desired Qualification Level:
