Job Description
**Machine Learning Engineer – AWS Workflow Specialist / ML Ops**
We are looking for a **Machine Learning Engineer** with strong expertise in designing, building, automating, and deploying end‑to‑end ML workflows on AWS. The ideal candidate will have deep experience in operationalising ML solutions, implementing robust CI/CD practices, and ensuring high-quality, production-grade ML pipelines
**Key Skills and Experience:**
+ **Only CVs clearly demonstrating hands-on AWS experience will be considered**
+ Proven experience in designing, developing, and deploying **SageMaker Pipelines** , including data preparation, model training, evaluation, and model registry integration.
+ Ability to operationalise ML pipelines through the full **development lifecycle** —development, testing, integration testing, CI/CD, and production deployment.
+ Experience writing and maintaining **unit tests** , **integration tests** , and **pipeline vali...
We are looking for a **Machine Learning Engineer** with strong expertise in designing, building, automating, and deploying end‑to‑end ML workflows on AWS. The ideal candidate will have deep experience in operationalising ML solutions, implementing robust CI/CD practices, and ensuring high-quality, production-grade ML pipelines
**Key Skills and Experience:**
+ **Only CVs clearly demonstrating hands-on AWS experience will be considered**
+ Proven experience in designing, developing, and deploying **SageMaker Pipelines** , including data preparation, model training, evaluation, and model registry integration.
+ Ability to operationalise ML pipelines through the full **development lifecycle** —development, testing, integration testing, CI/CD, and production deployment.
+ Experience writing and maintaining **unit tests** , **integration tests** , and **pipeline vali...
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