Data Scientist - R01551326 at Brillio

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Hands-on experience with LangGraph for building multi-agent AI systems
Deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications
Proficiency in statistical methods: Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Classification (Decision Trees, SVM), Distance metrics (Hamming, Euclidean, Manhattan)
Programming skills: Python/PySpark, R/R Studio, SAS/SPSS
Experience with ML Frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet
Knowledge of tools: Probabilistic Graph Models, Great Expectation, Evidently AI, KubeFlow, BentoML
Expertise in vector databases (Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) techniques
Statistical analysis and computing skills
Leadership experience in designing, scaling, and optimizing agentic AI workflows

Responsibilities

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 integrate with enterprise applications
Develop and optimize agent orchestration workflows using LangGraph for high performance, modularity, and scalability
Implement knowledge graphs, vector databases, and RAG techniques for enhanced agent reasoning
Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making
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 solutions
Prototype and experiment with self-learning AI agents for autonomous adaptation based on real-time feedback
Translate Agentic AI capabilities into enterprise solutions to drive automation, efficiency, and cost savings
Lead Agentic AI proof-of-concept (PoC) projects and scale successful prototypes into production
Lead and mentor a team of AI Engineers and Data Scientists in LangGraph and multi-agent architectures
Establish best practices for model evaluation, responsible AI, and deployment of autonomous AI agents

Skills

Key technologies and capabilities for this role

LangGraphPythonPySparkTensorFlowPyTorchScikit-LearnKubeFlowBentoMLARIMASVMDecision TreesRLHFRLAIFHypothesis TestingRegressionSASSPSSR

Questions & Answers

Common questions about this position

What is the salary for this Data Scientist position?

This information is not specified in the job description.

Is this Data Scientist role remote or onsite?

This information is not specified in the job description.

What key skills are required for the Senior Data Science Lead role?

Key skills include hands-on experience with LangGraph, expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), vector databases like Pinecone and Weaviate, and RAG techniques.

What does the role involve in terms of leadership and mentorship?

The role includes leading Agentic AI initiatives, driving research and innovation, and providing mentorship, as indicated by responsibilities like leading PoC projects and the mention of mentorship.

What makes a strong candidate for this Agentic AI Lead position?

A strong candidate has hands-on experience with LangGraph for building multi-agent AI systems, deep expertise in LLM orchestration, knowledge graphs, RLHF/RLAIF, and the ability to design scalable AI architectures aligned with business objectives.

Brillio

Technology consulting for digital transformation

About Brillio

Brillio helps businesses with their digital transformation by providing technology consulting services. The company focuses on creating customized digital solutions that utilize artificial intelligence and cloud technologies to meet the specific needs of each client. This includes improving operational efficiency and enhancing user experiences through real-time responses and better workflows. Brillio serves a variety of clients, including large Fortune 500 companies, with a strong emphasis on the healthcare sector. Unlike many competitors, Brillio's approach is centered on developing bespoke solutions that give clients a competitive advantage, aiming to help them evolve into 'generative enterprises.' The company's goal is to drive significant improvements in business operations and outcomes through its consulting services and technology implementations.

Edison, New JerseyHeadquarters

2014Year Founded

LATE_VCCompany Stage

Consulting, AI & Machine Learning, HealthcareIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Risks

High competition in tech may impact Brillio's talent acquisition and service scaling.

Over-reliance on healthcare exposes Brillio to sector-specific regulatory and funding risks.

Expansion into new markets may stretch resources, leading to potential operational inefficiencies.

Differentiation

Brillio specializes in bespoke digital solutions for diverse industries, focusing on AI and cloud.

The company is recognized as an Enterprise Innovator in healthcare payer services.

Brillio's Cloud and AI Studio aims to modernize enterprise IT systems and optimize workflows.

Upsides

Increased demand for AI-driven healthcare solutions boosts Brillio's market potential.

Expansion in India enhances service delivery and innovation through a growing tech talent pool.

Recognition in Open Banking IT Services highlights Brillio's role in financial digital transformation.

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