Special Projects - AI & Automation

SPX PHILIPPINES INC.; Manila; On-site; PHP 1,200,000 - 2,500,000; Full time

Job summary

SPX PHILIPPINES INC. in Manila is seeking an AI/ML engineer to identify high-impact opportunities across commercial and operations teams and translate business problems into scalable technical solutions.

You will build and prototype AI applications, automation workflows, data products, and internal tools using Python, SQL, APIs, and modern AI development tools; collaborate with data, product, BI, and engineering teams to deliver measurable ROI and rapid adoption.

Qualifications

• 3–6 years of experience in one or more of the following: Machine Learning / Data Science, AI or Data Engineering, Software / Full-Stack Engineering, Applied AI / Automation.
• Strong programming capability, ideally in Python and SQL.
• Experience building applications, data pipelines, APIs, automation workflows, or ML/AI solutions.
• Familiarity with LLMs, generative AI, agentic workflows, RAG, APIs, or AI application development.
• Comfortable rapidly prototyping and deploying working solutions rather than only producing requirements or recommendations.
• Strong analytical and problem-solving skills with the ability to understand business processes and translate them into technical solutions.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Comfortable operating in a fast-moving environment with ambiguous problems and changing priorities.

Responsibilities

• Identify high-impact AI, automation, and productivity opportunities across commercial and operations teams.
• Translate business problems into technical solutions, system requirements, and implementation plans.
• Build and prototype AI applications, automation workflows, data products, and internal tools.
• Develop solutions using LLMs, APIs, Python, SQL, workflow automation, and modern AI development tools.
• Work with data, product, BI, and engineering teams to integrate and scale successful solutions.
• Analyze operational data and quantify business impact, productivity gains, and ROI.
• Run pilots, iterate based on user feedback, and drive adoption across business teams.
• Support selected strategic and operational Special Projects requiring structured analysis and rapid execution.

Skills

Machine Learning

Data Science

AI

Data Engineering

Full-Stack

Python

SQL

APIs

Data pipelines

LLMs

Prototyping

Analytical thinking

Stakeholder communication

Adaptability

JavaScript/TypeScript

React

Cloud platforms

Git

Docker

AI coding platforms

Production deployment

E-commerce

Startup experience

Job description

Job Description:

Key Responsibilities

• Identify high-impact AI, automation, and productivity opportunities across commercial and operations teams
• Translate business problems into technical solutions, system requirements, and implementation plans
• Build and prototype AI applications, automation workflows, data products, and internal tools
• Develop solutions using LLMs, APIs, Python, SQL, workflow automation, and modern AI development tools
• Work with data, product, BI, and engineering teams to integrate and scale successful solutions
• Analyze operational data and quantify business impact, productivity gains, and ROI
• Run pilots, iterate based on user feedback, and drive adoption across business teams
• Support selected strategic and operational Special Projects requiring structured analysis and rapid execution

Requirements:

Qualifications

• 3-6 years of experience in one or more of the following:
• Machine Learning / Data Science
• AI or Data Engineering
• Software / Full-Stack Engineering
• Applied AI / Automation
• Strong programming capability, ideally in Python and SQL
• Experience building applications, data pipelines, APIs, automation workflows, or machine learning / AI solutions
• Familiarity with LLMs, generative AI, agentic workflows, RAG, APIs, or AI application development
• Comfortable rapidly prototyping and deploying working solutions rather than only producing requirements or recommendations
• Strong analytical and problem-solving skills with the ability to understand business processes and translate them into technical solutions
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable operating in a fast-moving environment with ambiguous problems and changing priorities

Nice to Have

• Experience with JavaScript / TypeScript, React, cloud platforms, Git, Docker, n8n, Google Apps Script, or similar technologies
• Experience using tools such as Claude Code, Codex, GitHub Copilot, ChatGPT, or other AI coding platforms
• Experience deploying AI applications or automation into production
• Experience with e-commerce, marketplaces, commercial operations, or large-scale operations
• Previous startup, consulting, special projects, or business transformation experience