Work Location: BGC (ON-SITE)

 Shift: Day Shift

 Headcount: 4 only

 Salary: Up to PHP 170,000

 Relevant Experience: 5+ years

About the Team

The Consumer Engineering (CE) team is building AI-driven consumer experiences that simplify healthcare and make it more personalized. As a Senior AI & Machine Learning Engineer, you will design, develop, and deploy production-grade AI/ML systems that directly impact millions of users.

Key Challenges

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  Simplifying Healthcare Complexity through AI/ML systems.

  
  


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  Building Scalable AI Systems for production.

  
  


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  Driving Rapid Innovation with new AI advancements (LLMs).

  
  


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  Cross-Functional Integration with product, design, and engineering.

  
  

What You’ll Do

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  Own end-to-end AI lifecycle: design, develop, test, deploy, and maintain ML models.

  
  


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  Build LLM-based applications and scalable AI systems.

  
  


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  Architect and manage cloud infrastructure for AI solutions (IaC principles).

  
  


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  Design reusable AI/ML platforms & frameworks to accelerate innovation.

  
  


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  Mentor junior engineers and lead technical best practices.

  
  


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  Collaborate cross-functionally with product managers, designers, and engineers.

  
  


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  Troubleshoot complex technical issues and improve system reliability.

  
  

What We’re Looking For

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  5+ years software engineering with focus on AI/ML.

  
  


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  Strong AI/ML expertise: concepts, models, algorithms.

  
  


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  Hands-on with Python / Node.js / Java / Go.

  
  


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  Strong with cloud (AWS, GCP, or Azure), CI/CD, APIs, SQL/NoSQL.

  
  


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  Domain knowledge in NLP, Computer Vision, Recommendations, Anomaly Detection.

  
  


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  Experience deploying LLM applications in production.

  
  


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  Strong problem-solving, adaptability, ownership, and curiosity.

  
  

 Education: Bachelor’s in Computer Science, Engineering, Data Science, or related field (or equivalent experience).

Nice-to-Haves

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  Experience in healthcare or regulated industries.

  
  


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  Built large-scale consumer-facing applications.

  
  


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  Contributions to open-source projects or notable side projects.

  
  

Why Join Us?

Direct impact on improving global health outcomes.

Solve cutting-edge AI challenges at the intersection of healthcare + AI.

Opportunity for growth, mentorship, and leadership.

Collaborative culture with diverse, talented peers.

Mission-driven: advancing health equity worldwide.

Pre-Screening Questions

1. 
   

   Do you have a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)?

   
   


2. 
   

   Do you have 5+ years professional software engineering experience with AI/ML?

   
   


3. 
   

   Can you demonstrate a strong understanding of AI/ML concepts, models, and algorithms?

   
   


4. 
   

   Do you have strong skills in software design, data structures, algorithms, and writing clean code?

   
   


5. 
   

   Have you deployed LLM applications into production? (Yes/No)