AI Infrastructure Engineer — Self-Hosted MLOps on AWS
Kooya Inc
Taguig
Hybrid
PHP 781,200 - 1,339,200
Full time
14 days+
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Benefits offered by this job
Competitive Salary
WFH every Friday
HMO after 3 to 6 months
Mid-Shift Schedule
With Leave Credits
Cash convertible leaves
OT & Holiday Pay
Hybrid Work Set up: BGC, Taguig City
Job summary
Kooya Inc is seeking a highly technical AI Engineer / MLOps Specialist based in Taguig, Philippines. You will lead a core infrastructure migration from managed AI services to a fully self-hosted, open-source architecture on AWS. The role involves building automated data ingestion systems, managing a vector database, and ensuring the secure operation of a Large Language Model 24/7. Key qualifications include deep AI experience, AWS proficiency, and solid Python skills. Perks include a competitive salary, flexible working setup, and health benefits.
Qualifications
Proven experience downloading raw model weights and serving them locally on GPUs.
Hands-on experience with AWS, specifically configuring and securing EC2 VMs.
Strong Python skills with web scraping experience.
Responsibilities
Transition existing AI workflows to self-hosted models on AWS.
Build and maintain automated pipelines to extract unstructured data.
Deploy open-source models using optimized inference engines.
Skills
AI / MLOps
Cloud Infrastructure
Data Engineering / Python
RAG Architecture
DevOps
Tools
Docker
AWS
Python
PostgreSQL
FastAPI
Job description
Kooya Inc is seeking a highly technical AI Engineer / MLOps Specialist based in Taguig, Philippines. You will lead a core infrastructure migration from managed AI services to a fully self-hosted, open-source architecture on AWS. The role involves building automated data ingestion systems, managing a vector database, and ensuring the secure operation of a Large Language Model 24/7. Key qualifications include deep AI experience, AWS proficiency, and solid Python skills. Perks include a competitive salary, flexible working setup, and health benefits.