Top Tech Jobs & Startup Jobs

As the Director of Generative AI Engineering, you will lead the implementation of generative AI technologies, create adoption strategies, and ensure integration with IT systems while collaborating with cross-functional teams to drive innovation.

As an AI Business Manager, you identify AI opportunities to enhance business workflows and manage the entire lifecycle of AI products. This includes validating AI initiatives, communicating with stakeholders, assessing model impacts, and ensuring compliance with legal standards.

As an AI Business Manager, you will identify opportunities to implement AI in business processes, manage the product lifecycle, and work with cross-functional teams to develop AI solutions. You will assess the business impact of AI initiatives, establish KPIs, and ensure compliance with regulations.

The AI Artist will leverage AI-driven tools to generate art assets, prepare datasets, and refine images while collaborating with production teams to integrate outputs into workflows. Responsibilities include optimizing AI techniques and ensuring high-quality visuals meet artistic standards.

As a Gen AI/ML Engineer, you will design and implement AI solutions using generative models. Responsibilities include optimizing models for NLP and image synthesis, ensuring data quality, integrating AI solutions, and collaborating with cross-functional teams. You will work with advanced frameworks like TensorFlow and PyTorch, focusing on model deployment and compliance.

As a Gen AI/ML Engineer, you will design and implement AI-driven solutions using generative models like LLMs and GANs. Responsibilities include optimizing models for tasks such as content creation, integrating solutions into existing systems, and ensuring data privacy. You will also experiment with new AI techniques while collaborating with cross-functional teams.

The AI Business Manager will lead the identification and management of AI initiatives, overseeing the lifecycle of AI products from conceptualization to evaluation, ensuring they meet business objectives. The role involves collaboration with cross-functional teams to develop AI solutions that enhance performance and comply with ethical standards, alongside assessing the economic impact of AI implementations.