Experience
8 - 13 yrs
Job Location
Gurugram, India
Vacancy
1
Designation
Data Science Manager
Job Type
ONSITE
Job Description
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.
- 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.
No Referrers Available
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