AWS MLOps Engineer
* Build and manage batch inference pipelines
* Implement CI/CD workflows for ML using Git-based processes
* Containerize applications using Docker
* Monitor model performance, data drift, and system health using CloudWatch
* Automate data pipelines and feature workflows using Python & SQL
* Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For ✔ Strong hands-on experience with AWS ML infrastructure
✔ Experience deploying and monitoring ML models in production
✔ Proficiency in Python and SQL
✔ Knowledge of Docker and CI/CD pipelines
✔ Experience with Infrastructure-as-Code (CloudFormation preferred) This role focuses on transforming machine learning from experimentation into secure, scalable, production-ready systems. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy
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