AI/Machine Learning Solutions Architect

Machine Learning Engineer Job Description

About the Role

The Machine Learning Engineering team is responsible for delivering high-quality AI/ML solutions and providing technical guidance to ensure successful project execution. Some key areas of focus include developing reusable frameworks, optimizing code performance, scaling up ML models, and anticipating potential production issues.

We are looking for a highly skilled Senior Machine Learning or MLOps Engineer with a strong background in Software Engineering and DevOps. As a Senior MLOps Engineer, you will be embedded in a revenue generation or cost optimization project, ensuring its success by improving the codebase, implementing automated CI/CD testing, and developing frameworks that can be reused across projects.

Key Responsibilities:

• Create maintainable machine learning frameworks (python packages) used across multiple projects.


• Support collaboration between Data Scientists, Business Stakeholders Analysts and Data Engineers on various initiatives


• Purpose-designed data feature stores creation based on model input variables applied towards AI / ML algorithms that provide predictive power insights among current products services . e.g: rules-based & general i.e.: user preferences
  then impact derived recommendation outcomes correlated some customer other choices.
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