| Urgent need AWS Machine Learning OR DATA SCIENTIST Consultant---Remote at Remote, Remote, USA |
| Email: [email protected] |
| State Client experience Required Role :AWS Machine Consultant Duration :6-month contract to hire fully remote Requirements: 5+ years of hands-on technical experience within AWS analytics utilizing SageMaker for Machine Learning Including experience building, training, and deploying ML models into production Extensive experience in a data science/machine learning consulting position exposure to multiple projects and clients (healthcare industry preferred) Hands-on experience using Bedrock or OpenAI solutions Python or R programming experience B.S. Degree Preferred Skills: Government/Federal agency experience AWS Big Data Certifications Responsibilities: Build and configure end-to-end MLOps pipeline on AWS cloud for model management, model deployment & service and model governance using AWS SageMaker. Use Amazon SageMaker Studio for development and tracking. Implement CI/CD pipelines using GITLAB to automate model deployment and updates, enabling rapid iterations and reducing time-to-market. Create Framework for deploying Client models to production environments using SageMaker endpoints and set up monitoring to track model performance and drift over time. Set up and run SageMaker Clarify bias analysis through Amazon Sagemaker Experiments to check the model for potential biases. Setup SageMaker Model Monitor to allow clients to select data from a menu of options such as prediction output, and capture metadata such as timestamp, model name, and end point so that clients can analyze model predictions based on the metadata. Maintain logs for reproducibility, validation, conformity, and auditability. Add Cohort model explainability used in the deployment phase, specifically in the model validation step before deployment. Implement static deployment strategies (using traffic routing patterns) to deploy Client model(s) - Blue/Green, A/B --------------- Best Regards, Himanshu Singh Vyze Inc (Subsidiary of Vivid Technologies Inc) 24916 Earls Ford Drive Chantilly, VA 20152 Email: [email protected] Hangout:[email protected] Linkedin: https://www.linkedin.com/in/himanshu-singh-036b02222 Disclaimer : This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings, please send REMOVE to [email protected] -- Keywords: continuous integration continuous deployment machine learning rlang information technology Virginia Urgent need AWS Machine Learning OR DATA SCIENTIST Consultant---Remote [email protected] |
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| Wed Jun 26 23:13:00 UTC 2024 |