Data Scientist - R01551326

Brillio; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

A leading technology company in Chennai is seeking a Senior Data Science Lead to design and develop multi-agent AI systems, optimize workflows, and mentor a team. The role requires deep expertise in LangGraph, machine learning frameworks, and statistical analysis. Join a dynamic team focused on driving AI innovation and business impact with cutting-edge technologies.

Qualifications

• Hands-on experience with LangGraph is required.
• Deep expertise in LLM orchestration and reinforcement learning preferred.

Responsibilities

• Design and develop multi-agent AI systems using LangGraph.
• Develop and optimize agent orchestration workflows.
• Lead cutting-edge AI research in Agentic AI and LangGraph.
• Translate Agentic AI capabilities into enterprise solutions.
• Mentor a team of AI Engineers and Data Scientists.

Skills

Hypothesis Testing

Python/PySpark

Statistical analysis and computing

Machine Learning Frameworks (TensorFlow, PyTorch)

Tools

KubeFlow

BentoML

Pinecone

Job description

Overview

Senior Data Science Lead

Primary Skills

• Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/R Studio

Key Responsibilities

• Architecting & Scaling Agentic AI Solutions – Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.
• Hands-On Development & Optimization – Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.
• Driving AI Innovation & Research – Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.
• AI Strategy & Business Impact – Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.
• Mentorship & Capability Building – Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

Qualifications

• The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications.