ML Ops Engineer
ML Ops Engineer
W2 Contract
Location:– Remote
Job Description:
Skills:
Must have working experience deploying batch models using AWS SageMaker pipelines, experience with AWS services such as lambda, S3; and training classification models; and MLFlow server setup. They will be more successful if they have experience deploying real time models on SageMaker endpoints, experience with AWS services such as IAM, sns, cloud watch; and experience with snowflake databases; and relational data sets.
Roles & Responsibilities
• Deploy models built by a Farmers data scientist as batch models using SageMaker pipelines & jobs OR step functions/EMR.
• Implement ML Flow server for the Farmers Enterprise
ML Ops Engineer
W2 Contract
Location:– Remote
Job Description:
Skills:
Must have working experience deploying batch models using AWS SageMaker pipelines, experience with AWS services such as lambda, S3; and training classification models; and MLFlow server setup. They will be more successful if they have experience deploying real time models on SageMaker endpoints, experience with AWS services such as IAM, sns, cloud watch; and experience with snowflake databases; and relational data sets.
Roles & Responsibilities
• Deploy models built by a Farmers data scientist as batch models using SageMaker pipelines & jobs OR step functions/EMR.
• Implement ML Flow server for the Farmers Enterprise
