AI/ML Architect (Expert in Sagemaker & Sagemaker pipeline)

Job Description:

Shorten development cycles for software and AI/Client systems.

Build and maintain tools and infrastructure for efficient software and AI/Client development.

Help to build and automate AI/Client workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization.

Improve and maintain automated CI/CD pipeline.

Increase deployment velocity, including the process for deploying models and Sagemaker pipelines into production.

Improve the creation of dependable releases.

Build and maintain infrastructure as code (IaC) in the cloud, that can scale when needed.

Build and maintain pipelines for analytics, model evaluation and training (includes versioning, compliance and validation).

Excellent software design, problem solving and debugging skills.

Strong interpersonal skills; able to work independently as well as in a team.

Skills:

Hands on Expert in Sagemaker & Sagemaker pipeline

Hands on experience on handling Amazon Bedrock for Generative AI applications

Excellent knowledge on MLflow for Data science code versioning tracking for model repository and integration knowledge with Sagemaker.

Hands on experience in DevSecOps Pipeline (Jenkins, Bitbucket, Nexus)

Experience with database systems including Postgres, MongoDB, DynamoDB

Good knowledge of S3

Should be Python development expert.

Good knowledge of EMR serverless

Good to have knowledge of IAM roles, Okta (Good to have)

Concept of ECR, Docker , Open shift will be added advantage.