AI/ML Engineer for LLM, RAG & Entity Resolution

Lakefusion; Hinoba-an; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

LakeFusion seeks an experienced AI/ML Engineer to advance our Master Data Management platform, built on the Databricks Lakehouse. You will design and optimize LLM-driven entity resolution systems, improve match accuracy, and ensure scalable production-grade performance.

Collaborate with product teams, data engineers, and data stewards to translate business needs into robust AI/ML solutions, build user-facing tools for transparency, monitor drift, and drive continuous improvements in a fast-paced

Qualifications

• 5+ years building production ML solutions.
• Deep expertise in entity resolution and MDM.
• Experience with GenAI, LLMs, Vector Search, and RAG.
• Proficiency in Python and ML frameworks.
• Production deployment focus on latency, throughput, and cost.
• Experience with Databricks components is highly desirable.

Responsibilities

• Lead design and optimization of prompt engineering for LLM-based entity matching.
• Advance RAG architecture and balance performance with cost.
• Improve match precision, recall, and interpretability.
• Develop production-grade data science tools for business users.
• Monitor model drift and performance; iterate improvements.

Skills

Python ecosystem

PyTorch

TensorFlow

scikit-learn

Databricks

LLMs

Vector Search

RAG architectures

MLOps

English communication

Tools

Databricks MLflow

Delta Lake

Databricks SQL Analytics

Job description

LakeFusion seeks an experienced AI/ML Engineer to advance our Master Data Management platform, built on the Databricks Lakehouse. You will design and optimize LLM-driven entity resolution systems, improve match accuracy, and ensure scalable production-grade performance.

Collaborate with product teams, data engineers, and data stewards to translate business needs into robust AI/ML solutions, build user-facing tools for transparency, monitor drift, and drive continuous improvements in a fast-paced