About the Role
About the Role We're looking for an MLOps Engineer to help scale machine learning from experimentation to production. You'll work closely with Data Scientists, Software Engineers, and Product teams to build robust, automated, and secure ML infrastructure that supports model deployment, monitoring, and lifecycle management.
Key Responsibilities
- Design, build, and maintain scalable ML pipelines (training, validation, deployment, monitoring)
- Productionise machine learning models and ensure reliability, performance, and observability
- Implement CI/CD workflows for ML using modern DevOps tooling
- Manage containerised workloads (Docker/Kubernetes) in cloud environments (AWS/GCP/Azure)
- Monitor model performance, drift, and data quality in production
- Collaborate with Data Science teams to improve reproducibility and experiment tracking
- Contribute to infrastructure-as-code and platform automation
Ready to Apply?
Submit your application today and take the next step in your career journey with SoCode Limited.
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