Data Scientist – Agentic AI & MLOps

Job Title : Data Scientist – Agentic AI & MLOps

Location : Bangalore - Hybrid (3 days work from office, 2 days from home)

Experience - 4-8 Years

About Us :

Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection.

Job Overview :

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

Key Responsibilities :

• Operationalise 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 containerised with Docker and Kubernetes.
• Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyse performance and optimise for cost and SLA compliance.
• Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.

Qualifications :

Preferred Qualifications :