AWS Architect - ML & SageMaker

Job Title: AWS Architect – ML & SageMaker

Location: FULLY Remote

Position type: Long term Contract

Rate: DOE

Description:-

We are seeking an experienced AWS Architect with strong hands-on expertise in Amazon SageMaker to design and implement scalable, secure, and production-grade ML platforms on AWS.

The role will own architecture decisions across data ingestion, model training, deployment, MLOps, and governance.

Key Responsibilities:

Architect end-to-end ML platforms using SageMaker and core AWS services

Design scalable training and inference pipelines (real-time & batch)

Implement CI/CD for ML workflows and model versioning

Establish MLOps best practices (monitoring, drift detection, rollback strategies)

Define secure, multi-account AWS architecture and networking patterns

Optimize cost, performance, and reliability of ML workloads

Guide engineering teams on cloud-native and microservices-based ML design

Required Skills & Experience:

8+ years in cloud architecture; 3+ years hands-on with SageMaker

Strong experience with:

Amazon S3

AWS Lambda

Amazon EKS or container orchestration

AWS CodePipeline

Proficiency in Python and ML frameworks (TensorFlow / PyTorch / scikit-learn)

Experience with Docker and Infrastructure as Code (Terraform/CloudFormation)

Strong understanding of distributed systems and event-driven architectures

Good to Have:

Experience with GenAI/ LLM deployment

Feature store and model registry implementation

Skills Matrix:-

Total work experience in IT Industry: Years

Total work experience in USA: Years

AWS Architect: Years

ML: Years

SageMaker: Years

Amazon S3: Years

AWS Lambda: Years

Amazon EKS or Container Orchestration: Years

AWS CodePipeline: Years

Python and ML frameworks (TensorFlow / PyTorch / scikit-learn): Years

Experience with Docker and Infrastructure as Code (Terraform/CloudFormation): Years

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