Lead/Sr. Lead Data Science & AI - R01549779 at Brillio

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

LLM application development and fine-tuning
Agentic AI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel)
RAG patterns and enterprise knowledge integration
Prompt design, tool integration, and orchestration
Problem Formulation (Business problem to Data Science Problem)
OKR Validation against statistical measures
Data Wrangling
Data Storytelling & Insight Generation
Problem Solving
Excel VBA
Data Curiosity
Technical Decision Making (How many iterations to go for vs when to stop iterating)
Communication & Articulation: Vocal & Written
Business Acumen (Consume new domains quickly to learn through data)
Design Thinking
Data Literacy Specialization
Data Science Foundation: Senior Data Scientist level
Natural Language Understanding and Generation
Autonomous Workflow Management
Integration with APIs, databases, and enterprise tools
Real-time analytics and decision-making
Reinforcement learning or feedback-based adaptation

Responsibilities

Autonomous Task Execution: Initiate and complete multi-step tasks across platforms (e.g., CRM, ERP, cloud services)
Decision-Making: Analyze data and make informed decisions aligned with organizational goals
Process Optimization: Identify inefficiencies and propose improvements using real-time analytics
Knowledge Management: Research, synthesize, and present information to support strategic initiatives
Customer Interaction: Engage with users via chat, email, or voice to resolve queries and escalate issues when necessary
Learning & Adaptation: Continuously improve performance based on feedback and outcomes
Compliance & Ethics: Operate within defined ethical, legal, and organizational boundaries

Skills

LLM

Fine-tuning

LangChain

LlamaIndex

Semantic Kernel

RAG

Prompt design

Tool integration

Orchestration

Data Wrangling

Excel VBA

API Integration

Real-time Analytics

Reinforcement Learning

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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