Offer summary

Qualifications:

Strong expertise in AWS CDK for Infrastructure as Code (IaC)., Proficient in AWS CloudFormation., Thorough understanding of MLOps frameworks and concepts., Over 9 years of experience in the field..

Key responsabilities:

Data preprocessing using tools such as AWS Glue, S3, and Feature Store.

Executing model training through SageMaker Pipelines.

Managing model versioning with SageMaker Model Registry.

Overseeing model deployment and monitoring using SageMaker and CloudWatch.

Job description

Skills:
AWS CDK, IAC, AWS Cloud formation, MLops Framework, Sagemaker, Code pipeline,

Mpany Overview

Join our innovative team where we specialize in leveraging cutting-edge technology to transform industries. We are committed to driving excellence and delivering high-quality solutions for our clients. Our team thrives on collaboration, creativity, and a passion for excellence.

Job Overview

We are looking for a highly skilled MLops Developer Engineer with extensive experience in implementing MLOps solutions using AWS CDK. This is a remote position with a contract for 3 to 6 months, which can potentially be extended based on project requirements. The role requires an expert with over 9 years of experience.

Qualifications And Skills

Strong expertise in AWS CDK for Infrastructure as Code (IaC).
Proficient in AWS CloudFormation.
Thorough understanding and practical application of MLOps frameworks and concepts.

Roles And Responsibilities

Data Preprocessing using tools such as AWS Glue, S3, and Feature Store.
Executing Model Training through SageMaker Pipelines.
Managing Model Versioning with SageMaker Model Registry.
Overseeing Model Deployment using SageMaker Inference, Lambda, and EKS.
Implementing Model Monitoring with SageMaker Model Monitor and CloudWatch.
Developing Retraining and Automation workflows via AWS Step Functions and CodePipeline.

Required profile