JOB

SUMMARYAt 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 TeamThe 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.

About the RoleAs a Manager Data Science specialising in Generative AI, you will:Lead

AI-Driven

Innovations : Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences.Strategic

Collaboration:

Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data- driven solutions aligned with organizational goals.Foster

a

High-Performance

Team : Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning.Deliver

Business

Impact : Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP, ensuring measurable outcomes.Optimize

AI

Pipelines : Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real- time data processing challenges.Customize

AI

Models : Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain- specific requirements.Promote

Data-Driven

Decision-Making : Advocate for data-centric approaches across teams,



ensuring data quality, integrity, and readiness to maximize model performance and business impact.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 agile 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.Stay

at

the

Cutting

Edge : Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects.

Key ResponsibilitiesDesign

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.

EXPERIENCEBS/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 etcExperience developing agents with frameworks like LangGraph, CrewAI, Autogen etcExperience with prompt engineeringKeeping up with latest market trendsExperience working with open source large language models from HuggingFaceExperience working with atleast one public cloud provider such as Azure, AWS or GCPExperience working with container technology like Docker, ECS etcExperience with DevOps practices and CI/CD pipelines for data solutionsExperience in deploying solutions to production with Kubernetes or OpenShiftExperience with managing ML workflows with MLFlow or KubeFlow

PERSONAL

ATTRIBUTESStrong written and verbal communication skillsAbility 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 skillsSelf-starter who requires minimal oversightAbility to prioritize and manage multiple tasksProcess orientation and the ability to define and set up processes

ABOUT

USPublicis

Sapient

is

a

digital

transformation

partner

helping

established

organizations

get

to

their

future,

digitally-enabled

state,

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

📌 Data Science Manager (Mumbai)
🏢 Publicis Sapient
📍 Mumbai