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Agentic AI
2 weeks ago
We are looking for a Senior Data Scientist to lead the development of agentic AI solutions and oversee the entire ML lifecycle, from initial concepts to deployment. The role involves operationalizing large language models, creating agentic workflows, implementing MLOps best practices, and constructing multi-agent systems for cybersecurity tasks.
**Key Responsibilities:**
- Implement LangChain, LangGraph, LlamaIndex, and Crew.AI to automate security decision-making and threat response.
- Develop multi-agent AI systems for log analysis, anomaly detection, and incident response.
- Create GenAI solutions and transition them into production-ready components on AWS using best practices.
- Establish CI/CD pipelines for model training, validation, and deployment.
- Manage model versioning, automated testing, rollback procedures, and retraining workflows.
- Automate cloud infrastructure provisioning and develop containerized REST APIs and microservices.
- Monitor models and infrastructure performance, optimizing for cost and SLA compliance.
- Collaborate with cross-functional teams to integrate agentic AI into existing security workflows.
**Qualifications:**
- Bachelors or masters degree in computer science, Data Science, AI, or a related quantitative discipline.
- 4+ years of software development experience, with a focus on LLM-based/agentic AI architectures.
- Proficiency in Python and experience in building data pipelines and AI workflows.
- Deep understanding of generative AI fundamentals and hands-on experience with agentic frameworks.
- Strong MLOps knowledge and extensive experience with AWS services.
- Expertise in infrastructure as code with Terraform, REST API development, and containerization.
- Solid grasp of data science fundamentals and cybersecurity principles.
- Excellent communication skills for technical and non-technical audiences.
**Preferred Qualifications:**
- AWS certifications (Solutions Architect, Developer Associate).
- Experience with Model Context Protocol and workflow orchestration tools.
- Familiarity with time series analysis, anomaly detection, and machine learning.
