Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Data Scientist at Securonix designing AI solutions for cybersecurity. Operationalizing LLMs and AI workflows in a hybrid environment in Bangalore, Karnataka.
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.
Requirements
- Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline.
- 6+ years of software development experience, including 3+ 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.
Benefits
- 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.
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