Job Description
Job Description
Role: Machine Learning Engineer with AWS Professional Services
Experience: 8+ Years
Work Mode: Remote
Looking for someone who can join us immediately
As a Machine Learning Engineer (MLE) in AWS Professional Services , you will work directly with enterprise customers to design, build, and deploy scalable ML and AI solutions on AWS. This is a customer-facing, hands-on technical role that combines deep ML expertise with cloud architecture, consulting, and delivery skills.
You will help organizations operationalize AI/ML workloads, modernize data platforms, and accelerate innovation using AWS services.
Key Responsibilities
Partner with customer stakeholders (data scientists, engineers, architects, executives) to define ML strategy and architecture.
Design and implement end-to-end ML pipelines using AWS services such as:
Amazon SageMaker
AWS Lambda
Amazon S3
Amazon EMR
Amazon Bedrock
Build and deploy ML models (supervised, un...
Role: Machine Learning Engineer with AWS Professional Services
Experience: 8+ Years
Work Mode: Remote
Looking for someone who can join us immediately
As a Machine Learning Engineer (MLE) in AWS Professional Services , you will work directly with enterprise customers to design, build, and deploy scalable ML and AI solutions on AWS. This is a customer-facing, hands-on technical role that combines deep ML expertise with cloud architecture, consulting, and delivery skills.
You will help organizations operationalize AI/ML workloads, modernize data platforms, and accelerate innovation using AWS services.
Key Responsibilities
Partner with customer stakeholders (data scientists, engineers, architects, executives) to define ML strategy and architecture.
Design and implement end-to-end ML pipelines using AWS services such as:
Amazon SageMaker
AWS Lambda
Amazon S3
Amazon EMR
Amazon Bedrock
Build and deploy ML models (supervised, un...
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