Manager Data Science

Publicis Groupe ANZ; Gurgaon; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Gender‑Neutral Policy

18 paid holidays annually

Generous parental leave

Flexible work arrangements

Employee Assistance Programs

Job summary

Publicis Groupe ANZ is seeking a Manager – Data Science (Generative AI) to join the Data & AI team. This pivotal role involves designing and implementing scalable AI systems using Large Language Models (LLMs) to solve complex challenges.

The ideal candidate will have significant experience in Generative AI, with a strong background in deploying AI-driven solutions on platforms like AWS or Azure. Responsibilities include optimizing AI pipelines and developing sophisticated NLP systems.

Qualifications

• 8–13 years of experience with at least 3 years in Generative AI.
• Strong experience fine-tuning and deploying large language models (LLMs).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization.

Responsibilities

• Design and implement AI-driven systems that transform user experiences.
• Fine-tune and adapt large language models for domain-specific applications.
• Develop and optimize NLP pipelines for search relevance and content generation.

Skills

Generative AI

Large Language Models (LLMs)

Fine-tuning AI models

Cloud platforms (AWS, Azure, GCP)

NLP pipelines

Tools

LangChain

LlamaIndex

Docker

Kubernetes

Ray

Job description

Manager – Data Science (Generative AI)

Overview

Publicis Sapient is looking for a Manager – Data Science (Generative AI) to join our Data & AI team and drive next-generation AI-powered solutions. In this role, you will design and implement scalable GenAI systems leveraging Large Language Models (LLMs) and advanced AI techniques to solve complex business problems. You will work at the forefront of innovation, building intelligent systems that deliver personalized, data driven digital experiences and unlock business value for global clients.

Your Impact

• Design and implement AI-driven systems that transform user experiences and business processes.
• Fine-tune and adapt large language models (LLMs) for domain-specific applications using advanced techniques like RLHF and instruction tuning.
• Build intelligent AI agents to solve complex business challenges using generative AI technologies.
• Develop and optimize NLP pipelines for search relevance, intent detection, and content generation.
• Integrate multi-modal systems (text, images, metadata) to enhance user insights and interactions.
• Optimize AI pipelines for scalability, performance, and real-time responsiveness in production.
• Deploy and scale GenAI solutions on cloud platforms such as AWS, Azure, or GCP.

Qualifications

• 8–13 years of experience with at least 3 years in Generative AI.
• Strong experience fine-tuning and deploying large language models (LLMs, VLLMs, vision models).
• Hands‑on experience with GenAI frameworks like LangChain and LlamaIndex.
• Experience with vector databases such as Milvus, FAISS, or ChromaDB.
• Knowledge of distributed training/inference frameworks like Ray, vLLM, or BentoML.
• Experience working with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Strong understanding of prompt engineering, ML workflows (MLflow/Kubeflow), and Agentic AI.

Additional information

• Experience building AI agents using frameworks like LangGraph, CrewAI, or Autogen.
• Knowledge of open-source LLM ecosystems (HuggingFace models).
• Experience in deploying production‑ready GenAI solutions using OpenShift or Kubernetes.
• Strong understanding of multi‑modal AI models (LLM, VLM, GANs, VAEs).
• Exposure to DevOps practices for scalable AI systems.

Benefits of Working Here

• Gender‑Neutral Policy
• 18 paid holidays throughout the year.
• Generous parental leave and new parent transition program
• Flexible work arrangements
• Employee Assistance Programs to help you in wellness and well‑being.