| Need Local AWS MLOps Specialist | Location: Falls Church, VA (Hybrid: 1day/week) | Client: GDIT | Visa: & ONLY.!! at Remote, Remote, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1373249&uid= Urgent Requirement: Role: AWS MLOps Specialist Location: REMOTE must be willing to sit onsite 1x per week in Falls Church, VA 22042 Duration: 6-month contract to hire Interview: 2-3 video screens Need Candidates Interview availability for this Friday, so we are moving quickly today to get candidates scheduled! Project start date is Start Date: 5/27/2024. Please make sure candidates have not applied online or been submitted directly. Top skills: 4-5 years of hands-on technical experience within AWS Analytics 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 relocation for candidates, please! 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 Sage Maker for Machine Learning. Including experience with AWS Sage Maker 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. Regards, Sucheta Chauhan Direct Voice: (201) 484 7129 [email protected] LinkedIn: linkedin.com/in/sucheta23 Voto Consulting LLC | http://www.votoconsulting.com 1549 Finnegan Lane, 2nd floor, North Brunswick, NJ 08902 USA| Canada| Mexico |UAE |India Voto Consulting LLC is an IT solution provider with Staffing, RPO, Outsourcing, Near Source and Outsourced Product Development as key delivery offerings. Voto Consulting LLC delivers cutting edge technologies in DPA, Cloud, AL/ML, Analytics and Advanced Analytics among many other technologies/service offerings. Voto helps deliver technologies to Fortune 1000 companies including startups and ISVs. Disclaimer: The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination, or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. If you received this in error, please contact the sender and delete the material from any computer. Keywords: continuous integration continuous deployment machine learning rlang information technology card Alabama New Jersey Virginia Need Local AWS MLOps Specialist | Location: Falls Church, VA (Hybrid: 1day/week) | Client: GDIT | Visa: & ONLY.!! [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1373249&uid= |
| [email protected] View All |
| 07:28 PM 07-May-24 |