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ML Architect
Sygna Solutions • Remote, US • published 2026-10-23 20:05:56.673056
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**Key Responsibilities:*** Define the target architecture and roadmap for machine learning on AWS and Databricks. * Design and implement scalable, secure, and production\-ready ML solutions. * Assess the current Databricks implementation and recommend improvements, integrations, and platform capabilities. * Establish end\-to\-end ML workflows covering data preparation, feature engineering, experimentation, model training, validation, deployment, monitoring, and retraining. * Implement MLOps practices using Databricks and MLflow, including experiment tracking, model management, automated deployment, governance, and monitoring. * Design batch and real\-time model\-inference solutions based on business and technical requirements. * Advise teams on the effective use of Databricks capabilities, including Unity Catalog, Feature Engineering, Model Serving, Lakehouse Monitoring, Delta Lake, Delta Live Tables/Lakeflow, and Databricks Workflows. * Integrate Databricks with relevant AWS services, such as Amazon S3, IAM, KMS, SageMaker, Lambda, ECR, CloudWatch, and streaming services. * Define reusable architecture patterns, development standards, and platform guardrails. * Establish appropria...
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