Job Title: AWS SageMaker MLOps Engineer

Work Location & Reporting Address: Atlanta, GA (Onsite-Hybrid. Will consider candidates willing to relocate to client's location)

Must Have Skills:

• AWS Sagemaker, AWS ECR , ML OPS

• Terraform

• ML OPS, GEN AI, Python

Nice to Have Skills:

• IAC

• FAST API

Detailed Job Description:

Responsibilities:

• Assess existing machine learning models, workflows, and infrastructure ( Python( Anaconda) for migration to AWS SageMaker.

• Design and implement migration strategies for on-premises, other cloud platforms, or older SageMaker environments to target SageMaker services.

• Leverage various SageMaker services, such as SageMaker Studio, Pipelines, Model Registry, and Endpoints, to streamline the ML lifecycle and model deployment.

• Prepare and validate data for training and inference within SageMaker.

• Containerize models and dependencies using Docker and AWS ECR for efficient deployment on SageMaker.

• Develop and optimize inference scripts for various model types within SageMaker endpoints.

• Configure and deploy SageMaker endpoints for real-time and batch predictions, ensuring high availability and scalability.

• Implement MLOps best practices within SageMaker, including automated model deployment, monitoring, and versioning.

• Troubleshoot and debug issues during migration and post-migration phases.

• Collaborate with data scientists, software engineers, and other stakeholders to ensure successful migration and integration of models.

• Optimize resource utilization and costs related to SageMaker deployments.

• Stay updated with the latest SageMaker features and best practices.

Required skills and experience:

• Strong understanding of machine learning concepts and lifecycle.

• In-depth knowledge and hands-on experience with AWS SageMaker services, including Studio, Terraform Pipelines, Model Registry, Training, and Endpoints.

• Experience with Terraform/ Lambda and containerization for ML model deployment.

• Experience with migrating ML models from diverse environments to AWS SageMaker.

• Familiarity with AWS services like S, ECR, Lambda, and IAM for supporting SageMaker workloads.

Minimum Years of Experience:

+ years

Certifications Needed:

No

Top responsibilities you would expect the Subcon to shoulder and execute:

• Strong communication skills

• Strong programming skills

Interview Process (Is face to face required?)

No

Any additional information you would like to share about the project specs/ nature of work: