Job Description

Company 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 advanced machine learning models and algorithms, with a specific focus on generative AI techniques.
• Collaborate with cross-functional teams to understand client requirements and translate them into scalable AI solutions.
• Research and explore emerging trends and techniques in the field of generative AI to stay at the forefront of innovation.
• Design and optimize machine learning pipelines for efficient data processing and model training.
• Evaluate and fine-tune models to ensure high performance and accuracy.
• Collaborate with data scientists and engineers to integrate AI solutions into existing systems.
• Stay up-to-date with the latest advancements in the field of AI and contribute to the company\'s technical knowledge base.

Primary Technical Skills:

• Deep understanding and hands-on experience in Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
• Proficiency in Python programming and frameworks such as TensorFlow, PyTorch, or Keras.
• Strong knowledge of machine learning algorithms and their practical applications.
• Experience in data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms such as AWS and Azure for scalable model deployment.

Secondary Technical Skills:

• Experience with natural language processing (NLP) techniques and frameworks.
• Knowledge of reinforcement learning and its applications.
• Familiarity with computer vision and image processing techniques.
• Understanding of distributed computing and parallel processing.

Innovation and Technical Skills:

• Proven track record of developing innovative AI solutions and pushing the boundaries of AI technology.
• Strong problem-solving skills and ability to think creatively.
• Excellent understanding of machine learning principles and techniques.
• Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong analytical and critical thinking abilities.

Qualifications

• Degree in Computer Science, Artificial Intelligence, or a related field.
• Proven track record of successfully implementing Generative AI models and solutions in real-world applications.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Additional Information

Flexible to work across different time zones/shifts (including night shift)

Dentsu International