Senior Gen-AI Data Scientist

Company Description

• Dentsu Media represents the largest area of expertise within the Dentsu network. It's available globally through three award-winning agency brands: Carat, iProspect and Dentsu X. All three are backed by a large-scale network of talent, capabilities, and services to support, develop, and transform the world's leading advertisers. Operating in over 145 countries, Dentsu Media is trusted by top-ranked brands across various sectors, from groundbreaking technology to avant-garde fashion. Dentsu utilizes technology, creativity, and detailed data analytics to deliver superior results that enhance its clients' brands. As Dentsu Media strives to transform advertising into a force for growth and good, it has become the destination where employees can shape meaningful careers and where brands can accelerate unprecedented, sustainable growth.

Job Description

The perfect candidate will have a robust background in artificial intelligence, machine learning, natural language processing, deep learning, image recognition, and computer vision, with the ability to use all these skills to create Innovative and Immersive Experiences, utilizing AI and Gen-AI, to revolutionize how brands engage with consumers.
• You should have profound hands-on experience with large language models (LLMs) and other generative AI techniques.
• You will be tasked with fine-tuning existing Foundation Models, and adapting existing base ML models.
• More significantly, you will also be responsible for coding, training, evaluating, and launching new custom ML models using large datasets, helping to create custom AI models for specific use cases, for different Dentsu clients and brands.
• You must have extensive experience developing and implementing advanced generative AI models and algorithms using cutting-edge techniques such as GPT, VAE, and GANs.
• You must have deep technical experience working with technologies related to multimodal AI, covering text, media, image, video, audio, and speech.
• Your role will additionally involve optimizing existing models for enhanced performance, scalability, and efficiency.
• You will be responsible for hands-on development in Python and , across a variety of AI / ML frameworks, AI Cloud Services, and Gen-AI platforms, including enterprise Gen-AI tech, open-source Gen-AI tech and SaaS Gen-AI tech.
Responsibilities:
• Collaborate with client teams and stakeholders to understand their requirements and design Gen AI models to fulfill these needs.
• Design, develop, and deploy custom ML models for Gen-AI solutions
• Implement to automate the deployment, monitoring, and maintenance of ML models.
• Engage in hands-on coding to develop AI / ML solutions from the ground up
• Create end-to-end data pipelines for data collection, extraction, preprocessing, cleaning, transformation, processing, and usage within custom-built Gen-AI models
• Stay updated about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.
• Have a strong knowledge and exposure across Enterprise Gen-AI Platforms and Solutions, as well as Third-party SaaS and Open Source tech leaders / providers in the Gen-AI space
• Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
• Lead R&D initiatives involving Gen-AI Platforms and Services, Large Language Models, and existing generative AI systems

Qualifications

Key Requirements
• 8+ years of overall experience in technology.
• At least 5+ years of overall experience in AI and ML solutions development.
• A Bachelor's degree in computer science, AI, Machine Learning, or a related field.
• Solid understanding of Generative AI, Machine Learning, Deep Learning algorithms, Software engineering principles
• Highly skilled in ML programming languages such as Python
• Familiarity with related machine learning platforms, libraries, and frameworks like PyTorch, , TensorFlow, Keras, or a similar platform with CUDA
• Experience with natural language processing (NLP) patterns such as Text representation, Embeddings, Language Modeling, and Semantic understanding
• Experience with libraries like SpaCy, NLTK, or Stanford CoreNLP
• Experience with large language models, for instance, GPT-4, Google PalM-2, and nVidia NeMO.
• Experience with Vector Databases for custom data and retrieval
• Strong proficiency in AI Orchestration frameworks such as Langchain and/or Microsoft Semantic Kernel
• Quick Engineering for implementing large language models
• Strong Proficiency in at least one major Cloud AI Platform / Service, and all their primary AI services and solutions, across Azure, AWS, and Google Cloud.
• Strong Proficiency in working with an AI Cloud Service such as Azure Machine Learning, AWS Sagemaker, or Google Vertex-AI
• Strong Proficiency in being able to code and deploy custom AI / ML models on top of AI Cloud platforms such as Azure OpenAI, AWS Sagemaker/Bedrock
• Experience with and exposure to nVidia AI Cloud Foundation Service, nVidia NeMo LLM frameworks, nVidia Picasso, and other nVidia services / solutions, highly desirable
• Exceptional problem-solving skills and an innovative mindset.