Company Description

DENTSU CREATIVE is dentsu's global creative network that transforms brands and businesses through the power of Modern Creativity. Widely reputed for its innovative and creative approach to marketing and advertising. Dentsu Creative has won numerous awards for its work, including Cannes Lions agency of the year 2022, D&AD Awards, and Effie Awards, among others. The company's global network of offices allows it to serve clients across industries and geographies, and it has worked with many of the world's leading brands. With its focus on creativity, innovation, and results, Dentsu Creative is a leading player in the advertising and marketing industry.

Job Description

• Develop and implement advanced Generative AL models, with a specific focus on Text, Image generation and fine tuning AI
• 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.
• 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.

Qualifications

• 3+ years of experience in Generative AI
• 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.

Must have Skills

• Python programming
• End to End Understanding of back end work Flows
• Good understanding of chatbots /Dialogue Flows
• Good Understanding od NO SQL and Unstructured data
• Ready to work on POC &Technical Evaluations

Good to have

• Good to have frameworks such as TensorFlow, Py-Torch, or Keras.
• Strong Good to have Basic knowledge of machine learning algorithms and their practical applications.
• Experience in feature engineering, and model evaluation.
• Familiarity Hands On Exp with one of the cloud platforms such as AWS and Azure for scalable model deployment.

Additional Information

Secondary Technical Skills:

• Basic Understanding with natural language processing (NLP) techniques and frameworks.
• Familiarity with computer vision and image processing techniques.
• Familiarity of distributed computing and parallel processing.
• Innovation and Technical Skills:
• Proven track record of developing innovative solutions and pushing the boundaries with flavour of AI technology.
• Strong problem-solving skills and ability to think creatively.
• Basic 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.