Top Tech Jobs & Startup Jobs

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

As a Senior Data Scientist, you will develop AI and ML solutions, collaborate with teams, and drive business strategy through advanced analytics and machine learning.

Responsible for defining, designing, and building dimensional databases, ensuring data integrity, and implementing data standards and guidelines.

Responsible for designing and implementing scalable solutions on Azure, focusing on UAM architecture, security analysis, and Azure AD integration.

As a Senior ML Ops Engineer, you will implement scalable systems, deploy ML models, manage infrastructure, and collaborate with teams for MLOps best practices.

Lead the development and implementation of data and analytics projects, ensuring on-time and on-budget delivery while managing cross-functional teams.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The role involves building and deploying ML models, developing web applications for data insights, collaborating with teams, and providing consulting services.

The Azure Databricks Administrator will manage technical solutions on the Azure Databricks platform, oversee performance management, and support development teams.

Lead the development and enhancement of infrastructure products and services, collaborating with teams to define strategies and oversee product lifecycle.