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.

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

The Senior Data Scientist will analyze manufacturing data to improve quality and optimize processes through advanced analytics, with a focus on driving cost and waste reduction.

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

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

The Power BI Architect will lead BI platform design and governance, ensuring scalable solutions and guiding BI Engineers, while collaborating with Azure teams.

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.

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

Seeking a Site Reliability Engineer to manage AI platform reliability, automate tasks, optimize ML pipelines, and lead incident response in a hybrid engineering role.

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.