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Principal Data Scientist R
Principal Data Scientist RBrillio • Bangalore, Karnataka, India
Principal Data Scientist R

Principal Data Scientist R

Brillio • Bangalore, Karnataka, India
30+ days ago
Job description

Principal Data Scientist

Primary Skills

  • Agentic AI Large Language Models (LLMs) and enterprise-grade AI / ML systems . The ideal candidate will lead the design experimentation and deployment of autonomous multi-agent AI systems leveraging LLMs knowledge graphs and reasoning frameworks .

Specialization

  • Agentic AI and LLM with framework
  • Job requirements

  • Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and growing at nearly 60% YoY since its inception Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology cloud computing internet of things (IoT) artificial intelligence (AI) and mobility. Born digital in 2014 we apply Customer Experience Solutions Data Analytics and AI Digital Infrastructure and Security and Platform and Product Engineering expertise to help clients quickly innovate for growth create digital products build service platforms and drive smarter data-driven performance.
  • With delivery locations across the United States Romania Canada Mexico and India our growing global workforce of over 6000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded Great Place To Work in 2021 and 2022. Learn more
  • We are seeking a highly accomplished Principal Data Scientist with extensive experience in Agentic AI Large Language Models (LLMs) and enterprise-grade AI / ML systems . The ideal candidate will lead the design experimentation and deployment of autonomous multi-agent AI systems leveraging LLMs knowledge graphs and reasoning frameworks . This is a strategic and hands-on role at the intersection of data science AI research and engineering leadership .

    Key Responsibilities

  • Lead the architecture experimentation and fine-tuning of LLMs (e.g. GPT Claude Mistral LLaMA Falcon) for business-specific applications.
  • Drive Agentic AI POCs and production implementations using frameworks such as LangGraph LangChain CrewAI AutoGen or Semantic Kernel .
  • Design and implement multi-agent systems with human-in-the-loop decision-making contextual reasoning and memory management.
  • Collaborate with cross-functional AI engineering data platform and product teams to operationalize LLM-based solutions .
  • Develop fine-tuning and RAG pipelines using open-source and proprietary foundation models.
  • Lead research and evaluation of emerging AI / LLM technologies for internal innovation and client solutions.
  • Mentor data scientists and ML engineers on prompt engineering model alignment (RLHF / RLAIF) and scalable AI system design.
  • Partner with business stakeholders to translate complex business problems into data-driven AI-enabled strategies .
  • Publish internal whitepapers and drive AI Center of Excellence (CoE) initiatives within the organization.
  • Required Skills & Experience

  • 1422 years of overall experience with at least 4 years in advanced AI / LLM / GenAI research or engineering.
  • Deep expertise in Agentic AI and building multi-agent workflows using LangGraph LangChain AutoGen CrewAI or Haystack.
  • Strong hands-on programming skills in Python with working proficiency in R or Scala .
  • Proven experience with LLM fine-tuning adapter methods (LoRA QLoRA PEFT) RAG pipelines and vector databases (e.g. Pinecone FAISS Weaviate Milvus).
  • Strong understanding of transformer architectures tokenization prompt optimization and model evaluation metrics .
  • Experience integrating LLMs with enterprise data systems APIs and orchestration pipelines (Databricks AWS Azure ML Vertex AI).
  • Demonstrated success leading POCs and production-grade implementations in Agentic AI use cases (knowledge assistants automation data analysis etc.).
  • Familiarity with data engineering MLOps / LLMOps and cloud-native AI deployment .
  • Excellent analytical communication and leadership skills with a track record of mentoring teams and driving innovation .
  • Preferred Qualifications

  • Advanced degree (Ph.D. / in Computer Science AI Machine Learning Data Science or a related field.
  • Publications patents or conference presentations in AI NLP or LLM domains.
  • Experience in Generative AI governance ethics or AI system reliability .
  • Hands-on experience with open-source LLM frameworks and custom dataset curation for fine-tuning.
  • We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

    Required Experience :

    Staff IC

    Key Skills

    Machine Learning,Python,Data Science,AI,R,Research Experience,Sensors,Drug Discovery,Research & Development,Natural Language Processing,Data Analysis Skills,Toxicology Experience

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 2021 - 2022

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    Principal Data Scientist • Bangalore, Karnataka, India

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