Top Tech Jobs & Startup Jobs

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

Manage end-to-end US and Canada recruiting for GenAI, ML, and Data Engineering roles: source, screen, maintain ATS and pipelines, coordinate interviews, manage offers/negotiations, and partner with external agencies.

The Technology Partner leads client engagements in Data & Insights, providing technology leadership, thought leadership, and mentoring while driving transformation agendas and solutions development.

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

Lead end-to-end data science initiatives, build ML models, collaborate with cross-functional teams, and communicate insights to business leaders.

Lead the design of data architectures in Multi-Cloud environments, oversee migration of legacy systems, develop predictive models, and mentor technical teams.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

The Google Workspace Administrator will manage and integrate Google Workspace environments, support M&A efforts, and collaborate on security and identity management processes, while automating tasks through scripting.

The Lead Full Stack Engineer will design and develop scalable full stack applications, integrating GenAI solutions, and leveraging AWS services. Responsibilities include building RESTful APIs, implementing CI/CD pipelines, and collaborating with cross-functional teams to ensure application performance and security.

The Azure Databricks Senior Architect will be responsible for architecture, design, and implementation of data practices on Azure, focusing on end-to-end data management principles and governance.