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.

Translate business objectives into well-defined data science, ML, and Agentic AI problems; 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.

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.

Proven ability to lead, inspire, and scale high-performing data science and AI teams.
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
Drives customer success by anticipating both stated and unstated business needs using AI-led, market-leading solutions.





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.

Delivers high-quality, production-ready AI solutions in fast-changing environments.

Aligns AI, data, and business strategy to create shared success and ambitious growth targets.

Builds a collaborative culture that empowers teams to excel and innovate together.

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); Strong foundation in machine learning, deep learning, NLP, and statistical modeling.
- Experience with LLM ecosystems and frameworks (e.g., 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.

D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Deep expertise in Agentic AI.
Experience with Large Language Models (LLMs).
Proficiency in Python.
Robust foundation in machine learning, deep learning, NLP, and statistical modeling.
Experience with LLM ecosystems and frameworks (e.g.,

📌 Data Scientist Ml Ai Python (Bengaluru)
🏢 Brillio
📍 Bengaluru