Job Description
Company description 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. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview Manager – Data Science (Generative AI) Publicis Sapient is looking for 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 Your Skills & Experience: • 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 Set Yourself Apart With: • 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.
Your Skills & Experience: • 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.