Offer summary

Qualifications:

4 to 16 years of experience as an MLOps engineer., Strong hands-on experience with AWS Sagemaker, CloudFormation, Kubernetes, and Docker., Proficient in data structures, data modeling, and database management systems., Certifications in AWS SageMaker or AWS solution architect are a plus..

Key responsibilities:

Manage and maintain reproducible AI/ML CI/CD pipelines.

Oversee model onboarding, automated training, versioning, and governance.

Create Infrastructure as a Service (IaaS) solutions.

Collaborate with teams on enterprise cloud setups.

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 AI/ML CICD pipeline using AWS Sagemaker, Cloud formation, Kubernetes, docker

• Well-versed 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)

Required profile