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Cherre Senior Machine Learning Engineer United States, New York, New York
Work within an agile fullstack scrum team to deploy ML models into production. Develop new ML-based services that enhance our data capabilities. Design and implement scalable and repeatable ML pipelines....
Engage with internal employees to accurately detail issues sent to the ticketing system. Detect and solve production issues and bugs within the development environment beyond your current scope. Engage with...
Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups....
Manage and complete tickets from customers and other departments related to Flywire’s platforms, ensuring the highest quality standards are met while adhering to the SLA requirements. Able to communicate clearly,...
Assist in the deployment and configuration of Genetec Security Center on Windows servers, ensuring successful implementation and integration of security systems. Provide first-level technical support to end-users, troubleshoot issues related...
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production...
Work within an agile fullstack scrum team to deploy ML models into production. Develop new ML-based services that enhance our data capabilities. Design and implement scalable and repeatable ML pipelines....
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.