Job Description
Cape Town – Western Cape – South Africa, Remote
- Take models from Data Scientists (notebooks, prototypes) and productionize them into scalable APIs and pipelines.
- Build CI/CD pipelines for ML: automated testing, validation, deployment, rollback.
- Implement monitoring for data drift, model drift, and performance decay with automated alerts and retraining triggers.
- Maintain reproducible environments for training and inference (Docker, SageMaker, Lambda, Step Functions).
- Design AWS-native ML infrastructure optimized for cost and scale (ECS/EKS, SageMaker, Lambda, Glue, Step Functions, S3).
- Build ETL/ELT pipelines that prepare structured and nested JSON data from PostgreSQL (BI reporting) and other sources.
- Ensure models integrate seamlessly into real-time decisioning engines.
- Collaborate with Backend Engineers (Node.js/JavaScript) to integrate ML services into production systems.
- Build microservices & APIs for inference, feature engineering, and data transformations.
- Ensure low-latency, fault-tolerant services for real-time lending decisions.
- Partner closely with Data Scientists to understand models, features, and assumptions.
- Work with Software Engineers to ensure production systems can consume models efficiently.
- Act as the bridge between research and Engineering, ensuring models dont get stuck in notebooks.
- Postgraduate Degree in a numerate discipline such as Statistics, Mathematics, Software Engineering, Computer Science, or a related field.
- Relevant AWS Certifications (e.g., AWS Certified Machine Learning Specialty, AWS Solutions Architect).
- MLOps-related Certifications or professional courses (e.g., Coursera, Udacity, or equivalent).
- 3+ Years experience in ML Engineering, Data Engineering, or Software Engineering with focus on ML deployment.
- Proven track record of deploying ML models into production (SageMaker, Lambda, Step Functions, or equivalent).
- Experience building CI/CD pipelines for ML.
- Strong Backend/Service Development skills (Node.js, Python, or JavaScript).
- Deep experience with AWS infrastructure (EC2, ECS/EKS, S3, Lambda, Glue, Step Functions).
- Strong SQL + PostgreSQL skills, including working with deeply nested JSON data.
- Experience in FinTech, Credit, or Risk Modelling.
- Understanding of multi-agent AI systems and advanced Feature Engineering (e.g., NLP on bank statements, credit bureau data).
- Cost-optimization experience on AWS.
GO APPLY NOW
Safe & secure application process
Explore More Opportunities
Get Similar Job Alerts
Job Seeker Tip
Join professional associations in your field to expand your network and knowledge.
How to Apply
Click “GO APPLY NOW” to visit the company’s application page.
Follow their instructions carefully.
JVR Jobs connects you with employers – we don’t process applications directly.
Latest Job Opportunities
Durban: Accounts clerk
Tsogo Sun welcomes job applications from passionate and hard-working team players who want to be part of our ever-growing Tsogo…
View JobCape Town: Contracts Manager posted by Hire Resolve
An industry-leading client of ours is currently looking for the expertise of an experienced and ambitious Contracts Manager to join…
View JobCape Town City Centre: Locum Ultrasonographer
Locum Ultrasonographer (Weekly Pay) We are looking for a qualified Locum Ultrasonographer to join our team on a temporary basis…
View JobDurban: Engineering Designer posted by Hire Resolve
An industry-leading company situated in KwaZulu-Natal is urgently seeking the expertise of an experienced Engineering Designer to join their team.Key...
View JobJohannesburg: Vehicle Parts Sales Executive
We have a vacancy for a Vehicle Parts Sales consultant with vehicle dealership in Johannesburg North. Duties and responsibilities :…
View JobCape Town: Senior Structural Engineer posted by Hire Resolve
A well-established company is currently seeking the expertise of an experienced Senior Structural Engineer to join their team of professionals…
View Job
Browse Employers
Job Alerts