| AWS MLops Specialist - Urgent Hiring ! at Remote, Remote, USA |
| Email: [email protected] |
| From: Farha khan, Tek Inspirations LLC [email protected] Reply to: [email protected] Job Description - Job Title: AWS MLops Specialist - Urgent Hiring ! Location: Falls Church, VA Mostly remote but One Day TO GO ONSITE IN Falls Church, VA VISA: USC and GC only Duration: 6 Months CTH NEED SOME WHO HAS WORKED WITH CONSULTING FIRM WITH HEALTHCARE CLIENTS For Example : it must be within consulting (i.e. companies such as Boston Consulting Group, McKinsey & Company, Deloitte, etc.) and worked with Healthcare clients Otherwise Government Healthcare experience required in recent project like Department of Health and Human Services (HHS) Health Resources and Services Administration (HRSA) Top skills: Currently living in Falls Church, VA (or within one hour driving distance) and willing to be onsite 1x/week (in Falls Church, VA 22042) 4-5 years of hands-on technical experience within AWSAnalytics utilizing SageMaker for Machine Learning Healthcare consulting background IMPORTANT - PLEASE NOTE: Candidates must be currently local to Falls Church, VA (or within one hour driving distance) and willing to be onsite 1x/week. No relo candidates, please! __________________________________________________________ Role: AWS MLOps Specialist Location: REMOTE must be willing to sit onsite 1x per week in Falls Church, VA 22042 About the role: Looking for a key resource to help multiple new and ongoing projects supporting the Department of Health and Human Services (HHS) Health Resources and Services Administration (HRSA). This role is critical in storing and analyzing both internal and external data on projects while providing hands-on technical expertise in AWS Machine Learning. Requirements: 5+ years of hands-on technical experience within AWS Analytics utilizing SageMaker for Machine Learning Including experience with AWS SageMaker Studio to build, train, and deploy ML models into production Extensive data science and machine learning engineering experience including establishing model governance frameworks Hands-on experience programming in Python or R Healthcare industry specific experience in a consultant type role exposure to multiple projects and clients B.S. Degree Excellent communication skills with ability to be both solution oriented (customer facing, gathering requirements) as well as hands-on with tech/development team 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. Keywords: continuous integration continuous deployment machine learning rlang information technology golang green card Virginia AWS MLops Specialist - Urgent Hiring ! [email protected] |
| [email protected] View all |
| Thu May 09 07:14:00 UTC 2024 |