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As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
In this role, you will design and implement data pipelines, manage data integration on cloud platforms, ensure data accuracy, and maintain compliance with healthcare regulations. You will lead collaborations with clients and teams, optimize data processes, and mentor junior engineers while staying informed on industry trends.
The Senior Data Science Engineer will develop data solutions, manage scalable data processing platforms, oversee algorithms for data acquisition and model improvement, and mentor junior engineers. Responsibilities include collaborating with teams, documenting solutions, and making informed decisions on services and applications.
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