Data Scientist

Brillio; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Brillio is seeking a Principal Data Scientist in Bengaluru to translate complex business problems into scalable AI solutions. You will lead data science, ML, and GenAI initiatives, guiding multi-agent architectures and productionizing LLMs for enterprise use cases.

You will mentor teams, influence senior stakeholders, and align AI programs with Brillio’s strategic goals, driving measurable business outcomes in fast-changing environments.

Qualifications

• Principal Data Scientist with hands-on experience in LLMs and Agentic AI.
• Proven deployment and operationalization of LLMs in production environments.
• Experience with multi-agent systems, autonomous workflows, tool-using agents, and human-in-the-loop architectures.
• 14–18 years in Data Science/AI with at least 5 years in a technical leadership role.
• Proficiency in Python; exposure to R or Scala is a plus.

Responsibilities

• Translate business objectives into well-defined data science, ML, and Agentic AI problems and validate OKRs using robust metrics.
• Design, build, deploy, and optimize Agentic AI systems (multi-agent workflows, autonomous decision-making) using LLMs for enterprise use cases.
• Fine-tune, prompt-engineer, evaluate, and productionize LLMs for copilots, RAG pipelines, conversational AI, and intelligent automation.
• Handle structured and unstructured data at scale for LLM-powered solutions.
• Convert analytical outputs and AI model results into clear narratives for executives.

Skills

LLMs

Agentic AI

Python

Leadership

Cloud platforms

MLOps

NLP

TensorFlow/PyTorch

Communication

Education

Master's or PhD in Data Science / CS / Math

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

HuggingFace

TensorFlow

PyTorch

Job description

The Principal Data Scientist will play a critical role in translating complex business problems into scalable, AI-driven solutions. This role demands strong leadership, deep expertise in Agentic AI, Large Language Models (LLMs), and advanced analytics, along with the ability to influence senior stakeholders and drive measurable business outcomes.

Responsibilities

Core Responsibilities

• Translate business objectives into well-defined data science, ML, and Agentic AI problems; validate OKRs using robust statistical and experimental measures.
• Agentic AI & LLM Solutions
• Design, build, deploy, and optimize Agentic AI systems (multi-agent workflows, task orchestration, autonomous decision-making) using LLMs for real-world enterprise use cases.

LLM Development & Deployment

• Fine-tune, prompt-engineer, evaluate, and productionize LLMs (open-source or proprietary) for use cases such as copilots, RAG pipelines, conversational AI, and intelligent automation.

Data Wrangling & Feature Engineering

• Handle structured and unstructured data at scale, including text, documents, and conversational data for LLM-powered solutions.

Insight Generation & Data Storytelling

• Convert complex analytical outputs and AI model results into clear, compelling narratives for business and executive audiences.

Technical Decision-Making

• Make informed trade-offs on model complexity, iteration depth, experimentation cycles, and time-to-value.

Design Thinking & Innovation

• Apply design thinking principles to build user-centric AI products and data solutions.
• Coach senior data scientists, review architectures, and establish best practices across data science, ML, and GenAI initiatives.

Leadership & Communication

• Proven ability to lead, inspire, and scale high-performing data science and AI teams.
• Exceptional communication and storytelling skills, with the ability to influence senior leadership and business stakeholders.
• Demonstrated experience mentoring, coaching, and upskilling data scientists and ML engineers.
• Strong business acumen with the ability to quickly understand new domains and apply AI effectively.
• Critical Leadership Qualities
• Customer Advocacy
• Drives customer success by anticipating both stated and unstated business needs using AI-led, market-leading solutions.
• Owner’s Mindset
• Demonstrates deep ownership of outcomes and makes decisions aligned with Brillio’s long-term success.
• Embraces ambiguity, experiments relentlessly, and challenges the status quo—especially in GenAI and Agentic AI adoption.
• Execution with Pace
• Delivers high-quality, production-ready AI solutions in fast-changing environments.
• Big Picture Thinking
• Aligns AI, data, and business strategy to create shared success and ambitious growth targets.
• Winning Through Teams
• Builds a collaborative culture that empowers teams to excel and innovate together.

Qualifications

• Key Qualifications – Technical Expertise
• Principal Data Scientist with strong hands-on experience in LLMs and Agentic AI.
• Proven experience in deploying, fine-tuning, and operationalizing LLMs in at least one real-world, production-grade project.
• Hands-on expertise in Agentic AI frameworks and patterns, such as multi-agent systems, autonomous workflows, tool-using agents, and human-in-the-loop architectures.
• 14–18 years of experience in Data Science, Machine Learning, Advanced Analytics, or AI, with at least 5 years in a technical leadership role.
• Proficiency in Python (mandatory); exposure to R or Scala is a plus.
• Strong foundation in machine learning, deep learning, NLP, and statistical modeling.
• Experience with LLM ecosystems and frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Hugging Face).
• Expertise in cloud platforms (AWS, Azure, or GCP), big data technologies, and MLOps / LLMOps (model monitoring, versioning, CI/CD, cost optimization).
• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and related ML frameworks.
• Strong understanding of Responsible AI, model governance, explainability, and risk management, especially for GenAI solutions.

Education

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Required Skills

• Strong leadership.
• Deep expertise in Agentic AI.
• Experience with Large Language Models (LLMs).
• Advanced analytics.
• Ability to influence senior stakeholders and drive measurable business outcomes.
• Proficiency in Python.
• Strong foundation in machine learning, deep learning, NLP, and statistical modeling.
• Experience with LLM ecosystems and frameworks (e.g., LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen