Lead AI/ML Engineer: Data Pipelines & NLP Architect

FactSet; Taguig; On-site; PHP 3,600,000 - 6,000,000; Full time

Job summary

FactSet is seeking an experienced Senior ML/AI Leader to design, deploy, and optimize end-to-end data and AI workflows within a cloud environment. You will guide a team of 10 engineers, drive NLP/NLU initiatives, and architect reusable Python pipelines using modern frameworks.

The role emphasizes mentorship, clear communication, and collaboration with stakeholders to deliver scalable ML services and robust ETL pipelines across Funds data processing workflows.

Qualifications

• 8–12 years of industry experience with 3+ in senior/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, OO patterns, code optimization, automated testing, and packaging.
• Experience with Relational databases (MySQL, PostgreSQL, MSSQL or similar).
• Experience on Cloud Technology (AWS/Azure/GCP).
• Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and IaC.
• Proven mentoring experience, shaping system design and driving cross-team initiatives.
• Exceptional ability to explain complex technical subjects to diverse audiences.

Responsibilities

• Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
• Hands-on leadership in prompt engineering, few-shot prompting, and building advanced NLP/NLU workflows.
• Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph) and architect reusable pipelines in Python.
• Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django).
• Provide technical leadership to the development team, guide on architecture, design, and implementation decisions.
• Lead and manage a technical team of 10 members.
• Provide technical support by incident resolution, and production troubleshooting
• Code quality through code reviews, advocating coding standards, and identifying risks before code reviews.
• Collaborate with stakeholders and the healthy technical discussions engineering team.
• Supplement technical decision-making skills with broader business knowledge

Skills

Python

ML/AI

Leadership

Prompt engineering

NLP/NLU

API/microservices

ETL pipelines

Mentoring

Communication

Cloud platforms

Education

Bachelor's degree in Computer Science or equivalent

Master's degree in Computer Science or related field

Tools

Hugging Face Transformers

LangChain

LangGraph

FastAPI

Flask

Django

PySpark

Databricks

Job description

FactSet is seeking an experienced Senior ML/AI Leader to design, deploy, and optimize end-to-end data and AI workflows within a cloud environment. You will guide a team of 10 engineers, drive NLP/NLU initiatives, and architect reusable Python pipelines using modern frameworks.

The role emphasizes mentorship, clear communication, and collaboration with stakeholders to deliver scalable ML services and robust ETL pipelines across Funds data processing workflows.