Top Tech Jobs & Startup Jobs

As a Python + React Developer, you will build full-stack applications, design RESTful APIs, and integrate AI models while collaborating with cross-functional teams.

As a Test Automation Engineer, you will design and maintain automated test frameworks, execute test suites, and implement CI/CD testing integrations for AI-powered applications.

The AI Engineer will develop, implement, and maintain AI systems and algorithms, ensuring data quality and deploying models in production. They will collaborate with teams to build data pipelines and ensure AI solutions meet requirements.

As a UX Designer, you'll conduct user research, create wireframes and prototypes, and collaborate with engineers to design AI products. You'll track success metrics and develop product roadmaps, while staying updated on UX/UI trends to enhance user experience.

The Migration Specialist will oversee end-to-end data and service migrations from Google Workspace to Microsoft 365, ensuring minimal disruption and providing user support throughout the process.

The Sales Development Representative will connect with enterprise clients, build relationships, and drive sales focused on AI solutions. Responsibilities include lead identification, client engagement, and pipeline management using CRM tools.

The Migration Specialist will lead data migration from Google Workspace to Microsoft 365, develop migration plans, provide user support, and ensure a smooth transition.

The Cloud Engineer will design, implement, and manage cloud infrastructures on multiple platforms, automate tasks, optimize costs, and mentor junior engineers.

The role involves partnering with technology leaders to develop new client relationships, secure agreements, and drive business growth through strategic account management and partnership cultivation.

The AI Architect will design, implement, and oversee large-scale AI systems, ensuring they align with business goals and ethical standards. Responsibilities include architectural design, integration of AI models, and collaboration with data engineering. Requires over 10 years of experience in AI/ML implementations for large enterprises.