Design and implement data pipelines using AWS services and develop scripts for data transformation. Optimize data storage and ensure accuracy for analytics.

The Azure Data Engineer role involves setting up data pipelines in Azure, utilizing Azure Data Factory, and managing Azure Data Lake storage. Responsibilities include designing solutions independently, writing complex database queries, and configuring CI/CD pipelines with Azure and GitHub.

We are seeking an AI/ML Engineer with 3+ years in Python and 6+ years in model deployment. Responsibilities include developing and deploying AI models and implementing MLOps.

Conduct advanced data analyses, lead projects, and guide teams to support clients in making informed business decisions, focusing on pharmaceutical analytics.

The Talent Acquisition Specialist will strategize with hiring managers, execute sourcing and recruitment strategies, and manage the hiring process, ensuring alignment with organizational goals and maintaining candidate relations.

Responsible for HR data management, employee support, benefits administration, payroll management, leave management, HR reporting, vendor management, and compliance adherence.

As a CI Consultant, you will gather and analyze data to provide strategic insights, focusing on Oncology/Hematology, and collaborate on client presentations.