Live opening · Posted 12 hours ago

Data Scientist

Insight Global · India (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 12 hours ago
CompanyInsight Global
LocationIndia (Remote)
Work modeNo
SourceLinkedin
Listed12 hours ago

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About the role

Description supplied by the original job listing.

Insight Global is seeking a Data Scientist IV to support a large telecommunications client on their Infrastructure Intelligence and Analytics (IIA) team. This team develops and operates the data platform and AI agent infrastructure that enables proactive network monitoring and automated investigations across enterprise network operations.
This individual will be responsible for designing, building, deploying, and evaluating AI agents that consume anomaly detection outputs and data from a large-scale data lake to automate investigation, diagnosis, and remediation activities. The role will own the full agent lifecycle from development through production deployment and performance evaluation.
The ideal candidate brings strong software engineering fundamentals, hands-on experience building AI agents programmatically using frameworks such as LangGraph, experience working with LLMs and agentic architectures, and a track record of deploying production-grade AI solutions.
Day-to-Day
Build and enhance AI agents using LangGraph or similar frameworks.
Integrate agents with data lakes, anomaly detection outputs, APIs, and real-time data sources.
Deploy agents into production through CI/CD pipelines.
Evaluate agent performance using gold-standard datasets and observability tools.
Improve agent quality through prompt engineering, context engineering, and tool design.
Collaborate with engineering and operations teams to support autonomous remediation initiatives.
Must-Haves
5+ years of Data Science, Machine Learning, Software Engineering, or AI development experience.
Strong Python and object-oriented programming skills.
Experience building AI agents programmatically (LangGraph or similar).
Experience with LLMs, agent orchestration, tool calling, retrieval, and memory patterns.
Strong SQL skills and experience working with large datasets.
AWS experience (S3, Athena, etc.).
Experience deploying production-grade solutions using Git, testing, and CI/CD.
Experience evaluating AI model/agent performance.
Nice-to-Haves
LangSmith
MCP (Model Context Protocol)
GitLab CI/CD
Telecommunications or network operations experience
n8n
REST APIs
boto3
Network telemetry, syslogs, or SNMP exposure

Work arrangement
No

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