Overview
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
AWS
Typescript
GenAi
AI/ML
Job Details
Role: AI/ML Architect with AWS
Hybrid Position
Long Term Contract
Location: Gaithersburg, MD(3 days onsite Per week)
ML/AI Cloud Operations and Engineering
Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment.
Establish governance frameworks for ML/AI infrastructure management and ensure compliance with industry standard processes.
Ensure principled and methodical validation pathways and a Well Architected Framework for Embryonic Research (WAFER) similar to and building on AWS's Well Architected Framework (WAF) for all early stage product and operational GenAI PoC's across the organization.
Oversee ML/AI related Kubernetes (k8s) cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow, and ML/AI data pipeline creation, management and governance with tools like Airflow
Essential Skills/Experience:
HS Diploma and 5 years of experience in Engineering/IT solutions OR BA/BS
Minimum of 5 years in cloud infrastructure design and management roles.
Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture.
Expert in Typescript, AWS CDK, Projen, and Argo CD and other Cloud Infrastructure CI/CD Tools
Extensive experience in managing Kubernetes clusters for ML workflows.
Solid understanding of foundation models and their applications in ML/AI solutions.
Strong background in AWS DevOps practices and cloud architecture.
Deep knowledge of AWS services (Bedrock, Sagemaker, EC2, S3, RDS, Lambda, etc) and hands-on design and implementation cloud systems (microservices architecture, API design, and database management (SQL/NoSQL))
Experience with monitoring and optimizing cloud infrastructure for scalability and cost-efficiency.
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