Data Scientist, Sr.
On-siteAlabang, Calabarzon, Republic of the Philippines
Alabang, Calabarzon, Republic of the PhilippinesOn-siteContractSenior LevelBachelors DegreeEnterprise
ContractSenior LevelBachelors DegreeEnterprise
Job Summary
Design and maintain multi-agent architectures for security incident triage and decision support. Develop machine learning models to assess and score incidents, integrating and orchestrating various tools to automate the triage process. Collaborate with cross-functional teams to align implementation with project goals, while documenting system logic and workflows for stakeholders. Refine agent-based systems and machine learning models to ensure reliable outcomes in production environments. This role supports the development of advanced AI systems for enterprise security operations.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Equivalent experience in lieu of formal education
- Proven experience designing, building, and deploying agent-based AI systems, including orchestration of multiple agents and integration with diverse tools, protocols (e.g., MCP), and data sources
- Hands-on expertise with large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI techniques for workflow automation and decision support
- Deep understanding of agent toolchains, agent orchestration frameworks, and best practices for integrating and scaling agent-based architectures in enterprise environments
- Strong proficiency in Python and relevant programming languages for developing, integrating, and automating AI solutions
- Practical experience with containerization and deployment technologies such as Docker and OpenShift
- Demonstrated ability to operationalize and maintain AI agents, including monitoring, troubleshooting, and continuous improvement in production environments
- Experience integrating agent-based systems with enterprise protocols and APIs, ensuring robust, secure, and scalable solutions
- Ability to work effectively with cross-functional teams, including project stakeholders and technical experts
- Strong written and verbal communication skills to document system designs and present findings to both technical and non-technical audiences
- Excellent troubleshooting and analytical skills for developing creative solutions to complex challenges
- High level of precision in designing, tuning, and evaluating models and agent workflows to ensure reliable outcomes
- English (High level)
- Minimum of 5 years in data science, AI engineering, or related roles
- Demonstrated success in developing and refining agent-based systems and machine learning models for decision support in enterprise environments
Desired Qualifications
- Certifications in Data Science, AI, or Machine Learning (e.g., Azure AI Engineer, AWS Machine Learning, or similar) or any additional credentials in automation, agent-based systems, or related areas
- Familiarity with MLflow or similar platforms for model lifecycle management
- Willingness to stay current with industry trends, technologies, and best practices in AI and automation
- While cybersecurity experience is appreciated, it is not required for this role
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