Senior AI/ML Platform Lead — Data Pipelines

Factset

Manila

On-site

PHP 1,800,000 - 3,200,000

Full time

7 days ago
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Job summary

FactSet is seeking a senior ML/AI leader in Manila to design, deploy, and scale LLM and AI solutions within a cloud-based data platform. You will mentor a team of about 10 engineers, drive architecture decisions, and champion best practices across NLP/NLU workflows.

The role emphasizes Python, ETL pipelines, and using frameworks like Hugging Face, LangChain, and LangGraph in a modern API/microservices environment.

Qualifications

  • 8-12 years of industry experience with 3+ in senior or lead roles delivering ML/AI solutions in a cloud environment.
  • Bachelor’s or master’s degree in computer science or equivalent.
  • Mastery of Python to build ETL pipelines, OOP patterns, code optimization, testing, and packaging.

Responsibilities

  • Design, fine-tune, and deploy small and open-source LLMs and AI models.
  • lead prompt engineering and advanced NLP/NLU workflows.
  • Guide adoption of modern AI/ML frameworks and architect reusable pipelines in Python.
  • Drive systems architecture in Python with API and microservices design.
  • Provide technical leadership and mentor a 10-member development team.
  • Provide production support, incident resolution, and troubleshooting.
  • Enforce code quality through reviews and coding standards.

Skills

Prompt engineering
LLM deployment
Python
NLP/NLU workflows
Leadership
API/microservices design
Mentoring engineers
Cloud deployment

Education

Bachelor’s or Master’s in Computer Science

Tools

Hugging Face
LangChain
LangGraph
FastAPI
Django/Flask
AWS
Azure
GCP

Job description

FactSet is seeking a senior ML/AI leader in Manila to design, deploy, and scale LLM and AI solutions within a cloud-based data platform. You will mentor a team of about 10 engineers, drive architecture decisions, and champion best practices across NLP/NLU workflows.

The role emphasizes Python, ETL pipelines, and using frameworks like Hugging Face, LangChain, and LangGraph in a modern API/microservices environment.

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