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Application Lead
Bengaluru
Job No. atci-4188667-s1614168
Full-time
Job Description
Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : As per Accenture Standards
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : Machine Learning Operations Good to Have Skills : No Function Specialization Job Requirements : Key Responsibilities : - Experience in setting up MLOps on AWS (Support setting up ML Foundational Infrastructure, Model Development and Model Deployment Environments) - Extensive experience with SageMaker services leveraged for MLOps - Experience in using SageMaker pipelines, Organization templates - Experience working in a multi environment setup (multiple AWS accounts) Technical Experience : - SageMaker Pipelines, SageMaker Projects, SageMaker Studio Domain, SageMaker Model Monitor, SageMaker Model Registry, Fargate Professional Attributes : - SageMaker Pipelines, SageMaker Projects, SageMaker Studio Domain, SageMaker Model Monitor, SageMaker Model Registry, Fargate Educational Qualification: As per Accenture Standards Additional Info :
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : As per Accenture Standards
Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : Machine Learning Operations Good to Have Skills : No Function Specialization Job Requirements : Key Responsibilities : - Experience in setting up MLOps on AWS (Support setting up ML Foundational Infrastructure, Model Development and Model Deployment Environments) - Extensive experience with SageMaker services leveraged for MLOps - Experience in using SageMaker pipelines, Organization templates - Experience working in a multi environment setup (multiple AWS accounts) Technical Experience : - SageMaker Pipelines, SageMaker Projects, SageMaker Studio Domain, SageMaker Model Monitor, SageMaker Model Registry, Fargate Professional Attributes : - SageMaker Pipelines, SageMaker Projects, SageMaker Studio Domain, SageMaker Model Monitor, SageMaker Model Registry, Fargate Educational Qualification: As per Accenture Standards Additional Info :
Qualifications
As per Accenture Standards
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.