The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The Senior MLOps Engineer will support existing environments, manage deployments, automate processes, and develop configuration documentation while launching NLP, NLG, and NLU-focused solutions to production. Expertise in Azure and software development is essential.

The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.