Job Description

Company Description

Dentsu Media is the largest area of specialism within the dentsu network. It is brought to markets globally, through three award-winning agency brands: Carat, iProspect and dentsu X. All three are underpinned by a scaled network offering of talent, capabilities, and services to support, grow and transform the world\'s leading advertisers. Operating across more than 145 countries, dentsu Media is trusted by leading brands across a broad range of sectors, from pioneering technology to cutting-edge fashion. Dentsu leverages technology, creativity, and in-depth data analytics to drive superior results that amplify its clients\' brands. Dentsu Media is transforming advertising as a force for growth, a force for good and has become the destination for employees to cultivate meaningful careers and for brands to accelerate previously unseen, sustainable growth.



Responsibilities:

• Develop and implement state-of-the-art generative AI models and algorithms.
• Collaborate with cross-functional teams to identify business challenges and define AI solutions.
• Design and optimize neural networks for generative tasks, including image synthesis, text generation, and audio generation.
• Conduct research and stay up-to-date with the latest advancements in generative AI.
• Evaluate and improve the performance of existing generative models.
• Collaborate with data scientists and engineers to gather and preprocess data for training generative models.
• Implement and maintain scalable and efficient training pipelines.
• Collaborate with software engineers to deploy and integrate generative models into production systems.
• Ensure the ethical and responsible use of generative AI technologies.

Primary Technical Skills:

• Strong programming skills in Python and experience with backend development.
• Understanding of deep learning frameworks such as TensorFlow or PyTorch.
• Solid understanding of computer vision and natural language processing.
• Familiarity with cloud platforms such as AWS or Azure(Preferred).
• Proficiency in data preprocessing and manipulation.

Secondary Technical Skills:

• Knowledge of computer vision, natural language processing, or audio processing is a plus.
• Knowledge of distributed computing and parallel processing.
• Familiarity with reinforcement learning algorithms.
• Strong mathematical and statistical foundation.

Qualifications

• Degree in Computer Science, Engineering, or a related field.
• Experience in developing and deploying generative AI models in real-world scenarios.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced and dynamic environment

Additional Information

Dentsu International