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 Apply tot his job Apply To this Job