Overview Senior Associate L2 Data Science (Generative AI) Publicis Sapient is looking for a Senior Associate L2 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




5.5 8 years of experience with at least 2 years in Generative AI.
Solid 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).
Solid understanding of prompt engineering, ML workflows 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.
Solid understanding of multi-modal AI models (LLM, VLM, GANs, VAEs).
Exposure to DevOps practices for scalable AI systems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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