Principal Data Scientist

2 days ago

Bengaluru Karnataka, India Brillio Full time

**Principal Data Scientist - R01554880**:
**Principal Data Scientist**

**Primary Skills**:
**Specialization**:

- Agentic AI and LLM

**Job requirements**:

- **
Key Responsibilities**:

- 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**:

- ** 14-22 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./M.Tech/M.S.) 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.

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