AI Engineer | Hybrid - Centris/Makati
Core
Design, build, and operationalize AI/ML solutions and Generative AI (LLM/RAG) that integrate with enterprise data platforms to enable predictive analytics, anomaly detection, and automation.
Role type
Senior IC AI Engineer (Enterprise Data & GenAI)
Builds
Production-ready AI models, services, and GenAI solutions integrated into enterprise data pipelines and lakehouse architectures.
Domain
Enterprise Data & Analytics, Generative AI, Cloud AI Platforms
Deliverable
production ML models (via careerplan.io/jobs/fa6e0c5f-76a3-4a6b-8293-c4947baea4d2-ai-engineer-hybrid-centrismakati-at-tasq-staffing-solutions-inc)
Required skills
Machine learning lifecycle management, Feature engineering, Python, SQL, Azure AI services, Microsoft Fabric, Databricks, LLM integration (RAG, prompt engineering), MLOps (CI/CD, monitoring), Data pipeline orchestration
Preferred skills
ServiceNow architecture knowledge, Responsible AI governance practices, Agile delivery experience
Technologies
Azure Machine Learning, Azure Cognitive Services, OpenAI, Microsoft Fabric, Databricks (MLflow, Delta Lake), Azure DevOps, Git
Responsibilities
Design and deploy AI/ML solutions for predictive analytics and anomaly detection; Implement Generative AI solutions using LLMs and RAG; Embed AI capabilities into data pipelines and lakehouse architectures; Collaborate with stakeholders to translate business needs into AI-driven components; Ensure production readiness through monitoring, logging, and performance optimization; Document models and pipelines for auditability and reuse.
Seniority
Senior, hands-on IC