E-Verify Program is a United States government-run web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States. Managed by the U. S. Department of Homeland Security, E-Verify verifies employee identity and employment eligibility against official government records. Employers can check the status of new hires by matching information from their Form I-9, Employment Eligibility Verification, to Department of Homeland Security and Social Security Administration databases.
September 15, 2024
πΊπΈ United States β Remote
π΅ $100.5k - $182.7k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
E-Verify Program is a United States government-run web-based system that allows enrolled employers to confirm the eligibility of their employees to work in the United States. Managed by the U. S. Department of Homeland Security, E-Verify verifies employee identity and employment eligibility against official government records. Employers can check the status of new hires by matching information from their Form I-9, Employment Eligibility Verification, to Department of Homeland Security and Social Security Administration databases.
β’ Define and extract data from multiple sources, integrate disparate data into a common data model. β’ Document, and test complex data systems that bring together data from disparate sources. β’ Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems. β’ Write and refine code to ensure performance and reliability of data extraction and processing. β’ Lead requirements gathering sessions with business and technical staff. β’ Develop advanced SQL queries to extract data for analysis and model construction. β’ Own delivery of large, complex data and ML engineering projects. β’ Design and develop scalable, efficient data pipeline processes. β’ Ensure performance and reliability of data processes. β’ Document and test data processes including performance of through data validation and verification. β’ Collaborate with cross functional team to resolve data quality and operational issues. β’ Develop and implement scripts for database and data process maintenance. β’ Analyze and evaluate databases in order to identify and recommend improvements. β’ Design advanced eye-catching visualizations to convey information to users.
β’ Bachelorβs degree and 5 years of experience with Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language. β’ Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models β’ Familiarity with large language models and with implementation of AI solutions in a cloud environment β’ In lieu of degree, 7 years of experience as stated above.
β’ competitive health benefits β’ bonus plans based on performance β’ 401(k) with employer match β’ paid time off (plus two well-being days) β’ variety of career development and wellness programs
Apply NowSeptember 5, 2024
Develop ML features at Fieldguide to enhance audit industry software.
June 15, 2024
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