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Data Science Manager - Artificial Intelligence / Machine Learning

Data Science Manager - Artificial Intelligence / Machine Learning

Publicis SapientGurugram
18 days ago
Job description

JOB TITLE : MANAGER - DATA SUMMARY :

At Publicis Sapient, we dont just build technology; we create transformative solutions. By

integrating Generative AI into our ecosystem, were 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 the Team : 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 :

  • Lead AI-Driven Innovations : Drive the development of state-of-the-art AI and machine

learning solutions that transform business strategies and deliver exceptional customer

experiences.

  • Strategic Collaboration : Work closely with cross-functional teams, including product
  • managers, data engineers, and business stakeholders, to define and execute datadriven

    solutions aligned with organizational goals.

  • Foster a High-Performance Team : Build, mentor, and lead a team of talented data
  • scientists, cultivating a culture of innovation, collaboration, and continuous learning.

  • Deliver Business Impact : Translate complex business problems into AI / ML solutions
  • by leveraging advanced techniques such as generative AI, deep learning, and NLP,

    ensuring measurable outcomes.

  • Optimize AI Pipelines : Oversee the development and deployment of scalable, efficient,
  • and robust machine learning pipelines that address latency, responsiveness, and realtime

    data processing challenges.

  • Customize AI Models : Direct the customization and fine-tuning of AI models, including
  • large language models (LLMs) and other generative AI technologies, to meet Promote Data-Driven Decision-Making : Advocate for data-centric approaches across

    teams, ensuring data quality, integrity, and readiness to maximize model performance

    and business impact.

  • 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.

  • Stay at the Cutting Edge : 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 :

  • Design AI Systems : Build AI agents for tasks such as content compliance, asset
  • decomposition, and contextual personalization.

  • 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 :

  • 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
  • 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 :

  • Strong written and verbal communication skills
  • Ability to effectively communicate technical concepts to technical and 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 : 8 years to 15 years with at least 2 years of Gen AI experience

    ABOUT US :

    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. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession combined with our culture of curiosity and relentlessness enables us to accelerate our clients businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com

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    Manager Data Science • Gurugram

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