Publicis Sapient - Senior Data Scientist - Generative AI

JOB SUMMARY :

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 :

About the Role :

- Shape Next-Generation Solutions : Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.

- Enhance AI Through Data : Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.

- Finetune Industry-Specific Gen AI Models : Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).

- 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.

Key Responsibilities :

- 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 :

- 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 :

- 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.

- Articulation skills

- Self-starter who requires minimal oversight

- Ability to prioritize and manage multiple tasks

- Process orientation and the ability to define and set up processes

EXPERIENCE : 5 years to 8 years with at least 2 years of Gen AI experience

ABOUT US :