Data Science Manager

JOBSUMMARY

At Publicis Sapient, we don't just build technology; we create transformative solutions. By integrating Generative AI into our ecosystem, we're shaping a new era of personalized and intelligent digital experiences for global clients. From building AI-driven content compliance systems to optimizing real-time decision-making, we leverage Large Language Models (LLMs) and cutting-edge AI technologies to solve industry-specific challenges.

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

The Data and AI Team at Publicis Sapient is at the forefront of AI innovation, crafting scalable solutions for enterprises across industries such as Healthcare, Retail, and Automotive. Our team blends expertise in data science, AI/ML, and software engineering to solve complex business challenges. By leveraging state-of-the-art Generative AI technologies, we create applications like intelligent content moderation engines, AI-driven recommendation systems, and LLM-based enterprise solutions.

About the Role

As a Manager Data Science specialising in Generative AI, you will:

• LeadAI-DrivenInnovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences.
• StrategicCollaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data- driven solutions aligned with organizational goals.
• FosteraHigh-PerformanceTeam: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning.
• DeliverBusinessImpact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP, ensuring measurable outcomes.
• OptimizeAIPipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real- time data processing challenges.
• CustomizeAIModels: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain- specific requirements.
• PromoteData-DrivenDecision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact.
• DevelopIntelligentAIAgents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
• AdvanceGenerativeAIApplications: 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.
• ScaleAIwithCloudTechnology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.
• StayattheCuttingEdge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects.

Key Responsibilities

• DesignAISystems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.
• DevelopNLPPipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation.
• IntegrateMulti-ModalSystems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights.
• OptimizeAIPipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production.
• CollaborateonAIInnovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.

EXPERIENCE

• BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field. Advanced degrees preferred.
• 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

PERSONALATTRIBUTES

• Strong written and verbal communication skills
• 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

ABOUTUS

PublicisSapientisadigitaltransformationpartnerhelpingestablishedorganizationsgettotheirfuture,digitally-enabledstate,bothinthewaytheyworkandthewaytheyservetheircustomers.Wehelpunlockvaluethroughastart-upmindsetandmodernmethods,fusingstrategy,consultingandcustomerexperiencewithagileengineeringandproblem-solvingcreativity.Asdigitalpioneerswith20,000peopleand53officesaroundtheglobe,ourexperiencespanningtechnology,datasciences,consultingandcustomerobsession– combinedwithourcultureofcuriosityandrelentlessness– enables us to accelerate our clients businessesthroughdesigningtheproductsandservicestheircustomerstrulyvalue.PublicisSapientisthedigitalbusinesstransformationhubofPublicisGroupe.Formoreinformation,visitpublicissapient.com