Senior AI Engineer - Build Production-Grade AI Systems

MONEYME; Metro Manila; On-site; PHP 1,800,000 - 3,000,000; Full time

Benefits offered by this job

HMO on Day 1 + dependents

Vacation leaves

Sick leave

Birthday leave

Wellness programs

Team events

Snacks in office

Merchandise

Rewards trips

Job summary

MONEYME in Manila is seeking a Senior AI Engineer to design, build, and run AI systems in production, delivering measurable business impact.

You will work across lending, risk and operations, framing problems, selecting AI approaches, deploying solutions and measuring outcomes with the Head of Data Intelligence and Lead AI Engineer. This role emphasizes ownership, rigour, experimentation, and proactive data-driven decision making in a fast-paced fintech environment.

Qualifications

• 4+ years in data science, ML, or AI engineering with production experience.
• Hands-on depth in ML/DL/LLM applications across domains.
• Strong grounding in statistics and experimentation; capable of turning analysis into decisions.
• Strong model evaluation: design, metrics, validation, leakage avoidance.
• Proficient Python and SQL with common ML frameworks.
• Solid software engineering: production services, APIs, CI/CD, cloud platforms (AWS/Azure/GCP).
• Regular use of AI coding tools with clear limitations understanding.
• Excellent English written and spoken.

Responsibilities

• Design, build and run AI systems in production.
• Analyze data, run experiments and turn insights into decisions.
• Collaborate with Head of Data Intelligence and Lead AI Engineer.
• Own the AI systems in your area and drive their direction.

Skills

4+ years exp

ML/DL/LLM

Statistics & experimentation

Model evaluation

Python & SQL

DevOps & Cloud

AI tooling

English proficiency

Tools

Databricks

scikit-learn

PyTorch

TensorFlow

Spark

MLflow

Job description

MONEYME in Manila is seeking a Senior AI Engineer to design, build, and run AI systems in production, delivering measurable business impact.

You will work across lending, risk and operations, framing problems, selecting AI approaches, deploying solutions and measuring outcomes with the Head of Data Intelligence and Lead AI Engineer. This role emphasizes ownership, rigour, experimentation, and proactive data-driven decision making in a fast-paced fintech environment.