Data Scientist - R01551326 at Brillio

Chennai, Tamil Nadu, India

Brillio Logo
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

LangGraph
Python
PySpark
TensorFlow
PyTorch
Scikit-Learn
KubeFlow
BentoML
ARIMA
SVM
Decision Trees
RLHF
RLAIF
Hypothesis Testing
Regression
SAS
SPSS
R

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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