Data Scientist

JOB SUMMARY

At Publicis Sapient, we don’t just build technology; we create transformative solutions. By

integrating Generative AI into our ecosystem, we’re shaping a new era of personalized and

intelligent digital experiences for global clients. From building AI-driven content compliance

systems to optimizing real-time decision-making, we leverage Large Language Models (LLMs)

and cutting-edge AI technologies to solve industry-specific challenges.

Join us in driving innovation and delivering true business value to our customers through the

strategic application of cutting-edge AI and data-driven solutions.

About the Team

The Data and AI Team at Publicis Sapient is at the forefront of AI innovation, crafting scalable

solutions for enterprises across industries such as Healthcare, Retail, and Automotive. Our

team blends expertise in data science, AI/ML, and software engineering to solve complex

business challenges. By leveraging state-of-the-art Generative AI technologies, we create

applications like intelligent content moderation engines, AI-driven recommendation systems,

and LLM-based enterprise solutions.

Experience Required

4.5 to 9 years at least 2 years of Gen AI experience (Note: Please do not apply if anyone is having less than 4.5 years of industry experience)

About the Role

As a Senior Data Scientist specializing in Generative AI, you will:

• Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business

processes.

• Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time

performance.

• Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).

• Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.

• Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.

• Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.

Key Responsibilities

• Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.

• Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation.

• Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights.

• Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production.

• Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.

EXPERIENCE

• BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field. Advanced degrees preferred.

• Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)

• Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.

• Experience with frameworks like like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.

• Deployment experience or optimized hosting experience of Large Language models

(LLMs, VLLMs, or Vision model)

• Experience working with any Vector database like Milvus, FAISS, ChromaDB etc

• Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc

• Experience with prompt engineering

• Keeping up with latest market trends

• Experience working with open source large language models from HuggingFace

• Experience working with atleast one public cloud provider such as Azure, AWS or GCP

• Experience working with container technology like Docker, ECS etc

• Experience with DevOps practices and CI/CD pipelines for data solutions

• Experience in deploying solutions to production with Kubernetes or OpenShift

• Experience with managing ML workflows with MLFlow or KubeFlow

PERSONAL ATTRIBUTES

• Strong written and verbal communication skills

• Ability to effectively communicate technical concepts to technical and non-technical stakeholders.

• Proactive mindset for collaboration across teams to achieve shared goals.

• Strong ability to solve complex problems with a focus on scalability, efficiency, and domain

relevance.

• Articulation skills

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

ABOUT US

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabledstate, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession – combined with our culture of curiosity and relentlessness – enables us to accelerate our clients’ businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com