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Senior Data Scientist - Agentic AI & MLOps

Securonix Consultancy
Bengaluru
4-9 Years
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Job Description

Role Summary:

Architect and operationalize Agentic AI solutions, managing the full ML lifecycle from proof-of-concept to production. Build multi-agent AI systems for cybersecurity tasks, implement MLOps best practices, and integrate AI workflows into security operations.

Key Responsibilities:

  • Operationalize large language models and Agentic workflows to automate threat response
  • Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response
  • Build GenAI proof-of-concepts and production-ready components on AWS using Bedrock, SageMaker, Lambda, EKS/ECS
  • Implement CI/CD pipelines for ML with GitHub Actions, Jenkins, and AWS CodePipeline
  • Manage model versioning, automated testing, rollback procedures, and retraining workflows
  • Automate cloud infrastructure with Terraform, build REST APIs, and containerize microservices with Docker and Kubernetes

Minimum Requirements:

  • Bachelor's or Master's in Computer Science, Data Science, AI, or related discipline
  • 4+ years of software development, 3+ years in LLM-based/Agentic AI architectures
  • Strong knowledge of generative AI fundamentals, embeddings, vector databases, prompt engineering, and RAG
  • Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI, or equivalent frameworks
  • Python proficiency 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, Terraform, Docker, Kubernetes, and REST API development
  • Understanding of cybersecurity principles, SIEM data, and incident response

More Info

Job Type:
Permanent Job
Industry:
Network Security
Role:
Software Engineer/Programmer
Function:
IT
Employment Type:
Full time
Open to candidates from:
Indian

About Company

Securonix Consultancy

Securonix is transforming how security operations are delivered, measured, and scaled. Our Unified Defense SIEM combines SIEM, UEBA, SOAR, TIP, and TDIR in a single cloud-native platform that helps security teams detect threats faster, investigate with context, and respond with precision. No more silos. No more guesswork.

We do more than unify the SOC. We improve its economics. With outcome-based pricing, modular automation, and full control over data pipelines, customers reduce storage and compute costs by up to 50 percent. Analyst efficiency improves by 50 percent, and response times are reduced by as much as 60 percent.

At the core is Agentic AI, a modular set of intelligent agents that automate triage, threat hunting, investigation, and response. These agents deliver explainable, policy-aligned decisions that reduce manual workload and accelerate action.

Built natively on Snowflake and AWS, Securonix provides elastic performance and long-term scalability. Our Data Pipeline Manager gives security teams complete control over how telemetry is collected, routed, and stored, optimizing cost while preserving visibility and compliance.

Securonix is proud to be recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for SIEM for the fifth consecutive year, and as a Gartner Peer Insights™ Customers’ Choice. Global enterprises trust us to modernize their SOC, reduce risk, and deliver outcomes that matter.

Modular by design and open by architecture, Securonix gives teams the flexibility to start with what matters most and scale as they grow.

Job ID: 129492129

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Last Updated: 17-10-2025 09:49:23 AM
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