Data Scientist

Securonix; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Health Insurance

Personal Accident

Term Life Insurance

Job summary

Securonix in Bengaluru seeks a Data Scientist to architect Agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You will operationalize LLMs, design multi‑agent workflows, implement MLOps, and deploy on AWS. Collaborate with security analysts to integrate AI into security workflows.

Ideal candidates have strong Python, MLOps, and AWS experience with a passion for security. This role offers opportunities to build scalable AI solutions for cybersecurity tasks.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline.
• 3+ years of software development experience, including 2+ years building and deploying LLM-based/agentic AI architectures.
• In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, 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: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices.
• Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).
• Infrastructure as Code skills with Terraform.
• Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.
• Solid data science fundamentals: feature engineering, model evaluation, data ingestion.
• Understanding of cybersecurity principles, SIEM data, and incident response.
• Excellent communication skills for both technical and non-technical audiences.

Responsibilities

• Operationalize large language models and Agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) 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 components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.
• Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.
• Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.
• Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes.
• Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; 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.

Skills

Python

ML/DL

MLOps

CI/CD

AWS

LLMs

Agentic AI

REST APIs

Education

Bachelor’s or Master’s in CS/DS/AI or related

Tools

LangChain

LangGraph

LlamaIndex

Crew.AI

Terraform

Docker

Kubernetes

Job description

Job Overview

We’re seeking a Data Scientist to architect Agentic AI solutions and own the full ML lifecycle—from proof‑of‑concept to production. You’ll operationalize LLMs, build Agentic workflows, implement MLOps best practices, and design multi‑agent systems for cybersecurity tasks.

Key Responsibilities

• Operationalize large language models and Agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) 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 components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.
• Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.
• Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.
• Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes.
• Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; 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.

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline.
• 3+ years of software development experience, including 2+ years building and deploying LLM‑based/agentic AI architectures.
• In‑depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, 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: CI/CD for ML, model monitoring, automated retraining, and production‑quality best practices.
• Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).
• Infrastructure as Code skills with Terraform.
• Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.
• Solid data science fundamentals: feature engineering, model evaluation, data ingestion.
• Understanding of cybersecurity principles, SIEM data, and incident response.
• Excellent communication skills for both technical and non‑technical audiences.

Preferred Qualifications

• AWS certifications (Solutions Architect, Developer Associate).
• Experience with Model Context Protocol (MCP) and RAG integrations.
• Familiarity with workflow orchestration tools (Apache Airflow).
• Experience with time series analysis, anomaly detection, and machine learning.

Benefits

• Health Insurance: total sum insured INR 7,50,000. Coverage includes self, spouse, 2 kids, dependent parents, or parents‑in‑law.
• Personal Accident: total sum insured INR 10,00,000.
• Term Life Insurance: sum assured 5 times the fixed base pay.

Securonix, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws. Securonix complies with applicable state and local laws governing non‑discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation and training.

Securonix expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Securonix employees to perform their expected job duties is absolutely not tolerated.