Data Science Lead - R01561319

Brillio

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Bangalore, Karnataka, India hybrid Until 8/21/2026 First posted February 24, 2026 Last posted February 24, 2026

Job description

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

Specialization

Data Science Advanced: Data Scientist

Job requirements

Job Description: Lead Solution Architect (Agentic AI & App Integration) Role Overview As the Lead Solution Architect, you will be the visionary and technical engine behind our AI-Enabled application. Transform a reactive monitoring environment into a proactive, agentic ecosystem. You will design the foundational integration blocks that allow Generative AI agents to interact with third-party applications, transcribe real-time communications, and provide intelligent, multi-step reasoning to support mission-critical decisions. ________________________________________ The Foundational Blocks 1. Orchestration Layer: Building the multi-agent framework (e.g., AutoGen, LangChain, or Semantic Kernel) that allows AI agents to collaborate, hand off tasks, and resolve complex incidents autonomously. 2. Universal Integration Fabric: Designing a standardized API and Webhook gateway that connects apps for real-time data ingestion and action execution. 3. The "Live Intelligence" Pipeline: Implementing Speech-to-Text (STT) and Natural Language Understanding (NLU) systems to ingest radio, video, and voice comms directly into the AI’s reasoning engine. 4. Governance & ALA (Agentic Level Agreements): Establishing the guardrails, audit logs, and "human-in-the-loop" protocols to ensure AI actions are safe, compliant, and transparent. ________________________________________ Key Responsibilities • Drive Agentic AI Strategy: Lead the architectural design of autonomous agents capable of L1/L2 incident triage, automated investigation, and proactive threat hunting. • Cross-App Integration: Develop reusable integration patterns (Event-Driven, WebSockets, REST) to ensure the app is the "single pane of glass" for all connected applications. • Conversational AI & STT: Design high-fidelity chatbot interfaces and real-time transcription services that allow operators to "talk to the data" and receive voice-activated summaries of active incidents. • Data Science Leadership: Partner with Data Scientists to fine-tune LLMs, optimize Retrieval-Augmented Generation (RAG) pipelines, and ensure model outputs are grounded in enterprise-specific data. • Scalability & Resilience: Ensure the architecture supports high-concurrency, low-latency operations.

About this role

Summary

Lead AI architecture, integrate multi-agent systems, manage data science teams, design scalable solutions.

Job title

Data Science Lead

Experience level

not specified

Industry

technology

Location requirements

Bangalore, remote work not specified.

Salary

Not specified

Management role

Skills & keywords

Required skills

hypothesis testingpythonpysparkSASstatistical analysisprobabilistic modelsforecastingkubeflowbentomldecision treessvmtensorflowpytorchscikit-learncntkkerasmxnetdistance metrics

Preferred skills

None specified

Specializations

Data ScienceAIMachine LearningNatural Language Processing

Locations

Structured locations inferred from the posting.

Bengaluru, Karnataka, India

Hybrid City