Data Scientist

Securonix

Data Scientist architecting agentic AI and multi-agent systems for Securonix’s cybersecurity SIEM platform. Operationalizing LLMs, MLOps, AWS services, and threat-response workflows from prototype to production.

Posted 8/5/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and operationalizing Agentic AI solutions, with a strong focus on the full ML lifecycle, including CI/CD pipelines, model monitoring, and cloud infrastructure automation. Proficient in deploying LLM-based architectures and integrating AI into security workflows while ensuring compliance with performance and cost metrics.

Highest-signal resume keywords

Agentic AI ArchitectureLarge Language Models (LLMs)CI/CD for MLAWS Services (Bedrock, SageMaker, Lambda)Infrastructure as Code (Terraform)

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Hard Skills

PythonMLOpsREST API DevelopmentContainerization (Docker, Kubernetes)Feature EngineeringModel EvaluationData IngestionAnomaly DetectionPrompt EngineeringModel Monitoring

Soft Skills

Excellent Communication Skills

Tools & Technologies

LangChainLangGraphLlamaIndexCrew.AIApache Airflow

Certifications & Qualifications

AWS CertificationsModel Context Protocol (MCP)

Industry Keywords

Cybersecurity PrinciplesSIEM DataIncident ResponseData Science FundamentalsAutomated Retraining

Tech Stack

Tools & technologies

AirflowApacheAWSCloudCyber SecurityDockerKubernetesMicroservicesPythonTerraform

About the role

Key responsibilities & impact

Architect Agentic AI solutions and own the full ML lifecycle from proof-of-concept to production
Operationalize large language models and Agentic workflows to automate security decision-making and threat response
Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response
Build proof-of-concept GenAI solutions and evolve them into production-ready AWS components
Implement CI/CD pipelines for model training, validation, and deployment
Manage model versioning, automated testing, rollback procedures, and retraining workflows
Automate cloud infrastructure provisioning with Terraform
Develop REST APIs and containerized microservices with Docker and Kubernetes
Monitor models and infrastructure, analyze performance, and optimize for cost and SLA compliance
Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows

Requirements

What you’ll need

Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline
3+ years of software development experience
2+ years building and deploying LLM-based/agentic AI architectures
In-depth knowledge of LLMs, embeddings, vector databases, prompt engineering, and RAG
Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks
Strong proficiency in Python and production-grade coding for data pipelines and AI workflows
Deep MLOps knowledge, including CI/CD for ML, model monitoring, automated retraining, and production-quality best practices
Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, and S3
Infrastructure as Code skills with Terraform
Experience building REST APIs, microservices, and containerization with Docker and Kubernetes
Solid data science fundamentals, including feature engineering, model evaluation, and data ingestion
Understanding of cybersecurity principles, SIEM data, and incident response
Excellent communication skills for technical and non-technical audiences
Preferred: AWS certifications, Model Context Protocol (MCP), RAG integrations, Apache Airflow, time series analysis, anomaly detection, and machine learning

Benefits

Comp & perks

Health Insurance with a total sum insured is INR 7,50,000
Coverage: Self, Spouse, 2 kids, Dependent parents, or parents-in-law
Personal Accident with total sum insured is INR 10,00,000
Term Life Insurance with a sum assured for employees is 5 times the fixed base pay