Data Science Manager

Publicis Sapient; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Publicis Sapient seeks a Manager Data Science specializing in Generative AI to lead state-of-the-art AI and ML solutions that transform business strategies and customer experiences.

You will mentor a team of data scientists, collaborate with product managers and data engineers, and drive AI pipelines across the organization, including real-time data processing and scalable deployment.

Qualifications

• 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 models).
• Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.
• Experience with frameworks like LangChain, LlamaIndex for building maintainable, scalable Generative AI applications.
• Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision models).
• 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

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.

Skills

Fine-tuning LLMs

Distributed training/inference

LangChain / LlamaIndex

LLM deployment/hosting

Vector databases

AI agents frameworks

Prompt engineering

Cloud platforms (AWS/Azure/GCP)

Docker / ECS

Kubernetes / OpenShift

MLFlow / Kubeflow

Open-source LLMs (HuggingFace)

Education

BS/MS in CS / Math / Physics / Engineering / Statistics

Tools

Ray

vLLM

openllm

BentoML

Milvus / FAISS / ChromaDB

LangGraph / CrewAI / Autogen

Docker

ECS

Kubernetes

OpenShift

MLFlow / Kubeflow

HuggingFace LLMs

Job description

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.

About the Role

As 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 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.
• 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 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.
• 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‑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