Search the 110 jobs at Wargaming

As a Prompt Engineer, you will design, optimize, and evaluate AI prompts to enhance model performance. Responsibilities include developing prompts for AI models, collaborating with teams on project requirements, analyzing effectiveness through metrics, and documenting guidelines for prompt optimization.

As a Gen AI/ML Engineer, you will develop AI-driven solutions focusing on generative models. Responsibilities include fine-tuning and deploying LLMs and GANs, optimizing models for tasks, integrating solutions, and staying current with advancements. You will work with frameworks like TensorFlow and PyTorch, ensuring quality and compliance.

The Gen AI/ML Engineer will design and implement AI-driven solutions using generative models. Key responsibilities include building, fine-tuning, and deploying LLMs and GANs, optimizing these models for various tasks, integrating AI solutions into existing systems, and experimenting with new techniques to enhance capabilities.

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.

As an AI Business Manager, you will manage the lifecycle of AI products, assess their business impact, and identify opportunities for AI to enhance performance. This requires collaboration with cross-functional teams to ensure AI solutions align with business objectives, while adhering to legal and ethical standards.

As a Prompt Engineer, you will design, optimize, and evaluate prompts for AI models, collaborate with product teams to enhance language model outcomes, and analyze prompt effectiveness using performance metrics. You will also document guidelines and stay updated on advancements in NLP.

As a Prompt Engineer, you will design and optimize prompts for AI models, working closely with cross-functional teams to align AI outputs with business goals. You'll develop automated AI solutions, evaluate prompt effectiveness using performance metrics, and document best practices, all while staying updated on advancements in NLP.

As an AI Business Manager, you'll identify business workflows suitable for AI solutions, manage the lifecycle of AI products, and ensure alignment with business objectives. Collaborating with cross-functional teams, you'll assess the impact of AI initiatives and drive competitive advantages while adhering to ethical standards.

The Prompt Engineer will design, optimize, and evaluate prompts for AI models, collaborate with teams to enhance model performance, implement automated AI solutions, analyze prompt effectiveness, and document best practices. Staying updated on NLP advancements is essential.

As a Prompt Engineer, you will design, optimize, and evaluate prompts for AI models, ensuring their effectiveness. You will collaborate with product teams, analyze prompt performance, develop automated AI solutions, and document best practices while staying updated on advancements in prompt engineering and NLP.

As a Gen AI/ML Engineer, you will design, develop, and implement AI-driven solutions focusing on generative models. Your responsibilities include building and optimizing AI models, integrating solutions into systems, and ensuring data compliance and security.

The Director of Generative AI Engineering will oversee the design and integration of generative AI technologies into the business, develop scalable strategies, evaluate AI models, and ensure integration with IT systems. Collaborating across teams, the role aims to drive innovation and adherence to architectural standards.

The Director of Generative AI Engineering will lead the design and implementation of generative AI technologies, develop strategies for AI adoption, evaluate models, and ensure their integration into business processes. This role includes collaboration with teams and establishing architectural standards for AI solutions.

The Director of Generative AI Engineering will lead the integration of generative AI technologies into business processes, develop AI strategies, optimize AI models, and ensure their integration with IT systems. The role requires collaboration with teams to innovate and select best practices for AI implementation.