AI Engineer Senior Associate

Lewis Personnel Management; Taguig; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Job summary

Lewis Personnel Management is seeking a data science professional to lead advanced AI projects in a hybrid setup at BGC, Taguig. Responsibilities include building ML models, data pipelines, and analytics solutions while collaborating with clients to translate business needs into actionable insights.

The role requires a Bachelor's degree with 4–7 years of experience, strong English communication, and hands-on experience with LLMs, vector databases, and popular AI stacks.

Qualifications

• Bachelor’s degree with 4 to 7 years of relevant experience in Data Science, AI, or Data Engineering.
• Excellent oral and written English communication skills.
• Hands-on experience with LLMs, RAG, vector databases, and frameworks like LangChain, LlamaIndex, or AutoGen.
• Strong full-stack/backend skills using Python, Angular or React, RESTful APIs, microservices, and SQL/NoSQL databases.
• Expertise in TensorFlow, Scikit-Learn, statistical modeling, and languages like C++ or R.
• Proven capability in AWS, Azure, or GCP, alongside Docker, Kubernetes, CI/CD, and Git.
• Willing to work in a hybrid, mid-shift setup in BGC, Taguig.

Responsibilities

• Build and deploy ML models (TensorFlow, Scikit-Learn) and AI-enabled apps using LLMs, RAG, and embeddings.
• Create and maintain scalable data pipelines and data lakes for large-scale processing.
• Perform exploratory analytics and statistical modeling to drive insights and growth.
• Collaborate with clients to translate business needs into analytics solutions.
• Apply strong Python, C++, and R practices to ensure data integrity and robust workflows.
• Mentor junior data scientists and stay updated on AI/ML trends.

Skills

English communication

Education

Bachelor's degree

Tools

Python

Angular/React

RESTful APIs

Microservices

SQL/NoSQL

TensorFlow

Scikit-Learn

C++

R

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Git

LangChain

LlamaIndex

AutoGen

Vector databases

Job description

Key Responsibilities

• Advanced Data & AI Solutions: Build and deploy ML models (TensorFlow, Scikit-Learn) and AI-integrated applications using LLMs, RAG, embeddings, and vector databases.

• Pipeline & Lake Architecture: Construct and maintain scalable data pipelines and data lakes to handle large-scale data processing.

• Analytics & Modeling: Perform exploratory/descriptive analysis and statistical modeling to deliver actionable business insights and strategic growth.

• Client & Stakeholder Collaboration: Partner directly with clients to translate business needs into custom data science and analytics solutions.

• Code & Data Quality: Apply strong development practices in Python, C++, and R to optimize workflows while ensuring data integrity.

• Mentorship & Growth: Mentor junior data scientists and stay ahead of emerging trends in AI and machine learning.

Required Qualifications

• Education & Experience: Bachelor’s degree with 4 to 7 years of relevant experience in Data Science, AI, or Data Engineering.

• Language Proficiency: Excellent oral and written English communication skills.

• AI & LLM Stack: Hands-on experience with LLMs, RAG, vector databases, and frameworks like LangChain, LlamaIndex, or AutoGen.

• Development & Architecture: Strong full-stack/backend skills using Python, Angular or React, RESTful APIs, microservices, and SQL/NoSQL databases.

• Machine Learning Tools: Expertise in TensorFlow, Scikit-Learn, statistical modeling, and languages like C++ or R.

• Cloud & DevOps: Proven capability in AWS, Azure, or GCP, alongside Docker, Kubernetes, CI/CD, and Git.

• Willing to work in a hybrid, mid-shift setup in BGC, Taguig