MLOps engineer_Manju_Capgemini

• 30+ days ago

Key Facts

Remote From:

Fixed term

Senior (5-10 years)

English

Hard Skills

AWS SageMaker MLOps (Machine Learning Operations) Kubernetes Docker (Software) Data Structures Data Modeling Open Enterprise Server Database Management Systems Employee Onboarding Software Versioning CI/CD Infrastructure As A Service (IaaS) Machine Learning AWS Cloud Development Kit (CDK) Healthcare Industry Knowledge

Other Skills

•
Governance

Job description

Location: Bangalore

Mandatory :• Minimum of 4 to 16 years of relevant work experience as MLOps engineer
• Strong hands on Experience in managing reproducible AIML CICD pipeline using AWS Sagemaker, Cloud formation, Kubernetes, docker
• Wellversed in data structures, data modelling, and database management systems, model onboarding, automated model training, model versioning and governance
• Experience in creating Infra as Service
• Experience in enterprise cloud setup

Good To Have :• Certified AWS SageMaker
• AWS solution architect
• Knowledge of Medical domain ( Dicom,HL7, FHIR)

Ready to apply?

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