Reference # 200204
You will be responsible for designing and building modern, adaptable, elastic, flexible AI/ML solutions that are easier to integrate into new and/or existing business processes. You will support in evaluating and recommending toolsets for development and operations, aligning the ML model scripts developed by data scientists with the overall deployment framework. You will define the model management processes for development and production, and orchestrate deployment using model repository.
You will regularly collaborate with data engineers and business-led data scientist to implement, verify and validate data quality findings. You will develop prototypes utilizing ML frameworks, such as TensorFlow, scikit-learn, mlflow, or could services like Amazon SageMaker etc., that are easier to scale and establish a monitoring framework for continuous evaluation and improvements in model performance.
In addition, you will also be required to define the testing methodologies to conduct model verification and validation such as A/B testing, sensitivity analysis or static analysis.
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The last day to apply is 31 May 2020.
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