Job Title: Machine Learning (ML) / Integration Engineer

Work Setup: Hybrid
Locations: Taguig, Cebu, Clark, Pampanga, or Davao City, Philippines (Multisite)
Work Schedule: Flexible shifting schedule, including weekends, night shifts, and holidays, depending on business requirements
Salary Package: ₱52,000–₱73,000 per month
Experience: 3–8 years in Software Development, ML Engineering, or AI Integration
Healthcare Experience: At least 2 years in Healthcare (CPO/BPO, Payer, Provider, or Health Tech)
Headcount: 1
Target Start Date: ASAP

Job Overview

We are seeking a skilled Machine Learning (ML) / Integration Engineer to develop, implement, and integrate machine learning and AI-powered solutions into enterprise applications, particularly within the healthcare technology environment.

The successful candidate will combine software engineering expertise with machine learning knowledge to build scalable applications, integrate services through APIs, and support distributed systems and microservices architectures.

The role requires hands-on programming experience, familiarity with ML frameworks, cloud technologies, containerization, and CI/CD pipelines. Candidates should also have healthcare industry experience, preferably in healthcare BPO, payer, provider, or health technology environments.

Key Responsibilities

• Design, develop, and maintain software applications incorporating machine learning and AI capabilities.

• Build and integrate RESTful APIs, GraphQL, and gRPC services across enterprise platforms.

• Develop and implement AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Integrate machine learning models and AI services into existing business applications and workflows.

• Develop scalable and maintainable applications using Python, Java, C#, or Node.js.

• Support microservices architecture and distributed systems integration.

• Implement and manage containerized applications using Docker and Kubernetes.

• Develop, maintain, and optimize CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

• Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

• Manage and integrate SQL and NoSQL databases.

• Troubleshoot application, API, integration, and ML-related issues.

• Collaborate with software engineers, data scientists, architects, and business stakeholders.

• Follow software development best practices, security standards, and quality guidelines.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or a related field.

• 3–8 years of experience in software development, ML engineering, or AI integration.

• At least 2 years of healthcare industry experience in CPO/BPO, payer, provider, or health technology environments.

• Strong programming skills in at least one of the following:

  • Python

  • Java

  • C#

  • Node.js

• Hands-on experience integrating RESTful APIs, GraphQL, or gRPC services.

• Experience with machine learning frameworks such as:

  • TensorFlow

  • PyTorch

  • Scikit-learn

• Knowledge of AI development and machine learning concepts.

• Familiarity with Docker and Kubernetes for application containerization and deployment.

• Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.

• Experience working with SQL and NoSQL databases.

• Strong understanding of software architecture, distributed systems, and microservices.

• Strong analytical, troubleshooting, and problem-solving skills.

Work Setup & Schedule

• Hybrid work arrangement.

• Available work locations:

  • Taguig City

  • Cebu

  • Clark, Pampanga

  • Davao City

• Candidates must indicate their preferred work location.

• Must be flexible to work shifting schedules based on business requirements, including weekends, night shifts, and holidays.

Recruitment Process

1. Candidate Validation

2. Zwayam Profile Creation

3. HR Interview

4. Hiring Manager Interview

5. Onboarding

Candidate Screening Questions

1. What is your highest educational attainment?

2. How many years of experience do you have in software development, ML engineering, or AI integration?

3. How many years of healthcare experience do you have in CPO/BPO, payer, provider, or health technology?

4. Which programming languages have you worked with (Python, Java, C#, or Node.js)?

5. Do you have hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn?

6. What is your last drawn salary?

7. What are your salary expectations?

8. Which work location do you prefer: Taguig, Cebu, Clark/Pampanga, or Davao?

9. Are you amenable to a hybrid work arrangement and shifting schedules, including weekends, night shifts, and holidays?

10. Can you start immediately once hired?

Ideal Candidate Profile

The ideal candidate is a software or ML engineer with strong programming and API integration skills, practical knowledge of AI/ML frameworks, and experience working with cloud-based applications and microservices. Healthcare industry experience is essential, along with the flexibility to work in a hybrid setup across the available Philippine locations.