Regarding the ML Engineer we are looking for at Thoucentric, these are the activities we need them to do: Improve the draft model pipelines between Sagemaker Model Registry and Sagemaker Endpoints, for deployment on QA, PROD and deletion of rejected models on QA. Implement model lineage as model cards in Sagemaker Model Registry, detailing which data version and Bitbucket tag was used to train the registered model. Implement multi-model Sagemaker Model Endpoints and integrate those with Azure AD (SIGA). Implement Model Monitoring of models deployed on QA and PROD. (We are currently exploring Sagemaker Model Monitoring, but it has problems monitoring multi-model endpoints, so the decision is yet to be finalized.) Implement bespoke model monitoring required by Legal following gap analysis against Sagemaker Model Monitor solution. (This activity will be done later this year.) Activate model monitoring for models already running in PROD. (This activity will be done later this year.) Co-create with architects & DevOps how model deployment, model monitoring etc will work following the DEEP migration in 2025.,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Specialist Job in Lorven