Cloud Solution Architect (MLOps & AWS) | Onsite | C2C Profiles

Role: AWS Architect Location: Reston, VA - Onsite Technical Expertise: · Enterprise Data & Cloud Architecture · Expertise managing Enterprise Data Platforms including Data Lakes, Data Warehouses, and Data Marts. · Experience with real-time and near real-time data streaming platforms. · Expertise with relational, semi-structured, and unstructured databases. · Strong proficiency with Python or Java. · Experience designing large-scale APIs, microservices, and distributed streaming-based solutions. · Skilled in supporting and managing large, complex, and geographically distributed cloud environments. · Strong background in risk assessment, control design, gap remediation, and impact analysis. · Extensive experience with MLOps frameworks and enterprise ML lifecycle automation, Including: · ML Lifecycle Architecture & Automation · Designing and implementing end‑to‑end MLOps pipelines: data ingestion, feature engineering, model training, tuning, evaluation, versioning, CI/CD for ML, approvals, and automated deployment. · Establishing model governance, including lineage, auditability, explainability, data validation, and responsible AI controls. · Model Deployment, Serving & Monitoring · Designing microservice-based ML inference architectures using EKS/ECS, Lambda, Step Functions, and event-driven patterns.