Machine Learning & Integration Engineer

Gratitude Philippines; Manila; Hybrid; PHP 580,000 - 815,000; Full time

Job summary

Gratitude Philippines is seeking a Machine Learning & Integration Engineer to design, implement, and integrate ML solutions into healthcare-oriented systems. You will develop scalable applications, APIs, and microservices, utilizing Python/Java/C#/Node.js and leading ML frameworks, while ensuring security and performance in distributed cloud environments.

The role supports a hybrid setup across multiple sites with flexible shifts, including nights and weekends, and requires immediate

Qualifications

• Graduate or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Engineering, or a related field.
• 3–8 years of software development, ML engineering, or AI integration experience.
• At least 2 years in healthcare industry (CPO/BPO, payer, provider, or health tech).
• Strong programming skills in Python, Java, C#, or Node.js.
• Hands-on experience integrating RESTful APIs, GraphQL, or gRPC services.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of AI development and integration.
• Familiarity with Docker and Kubernetes.
• Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
• Familiarity with AWS, Azure, or Google Cloud platforms.
• Experience with SQL and NoSQL databases.
• Strong understanding of software architecture, distributed systems, and microservices.
• Good analytical, problem-solving, communication, and collaboration skills.

Responsibilities

• Design, develop, and implement ML and AI-powered solutions to meet business needs.
• Build, integrate, and maintain software applications using Python, Java, C#, or Node.js.
• Develop and integrate RESTful APIs, GraphQL, and gRPC services.
• Implement and optimize ML models using TensorFlow, PyTorch, and Scikit-learn.
• Integrate AI/ML capabilities into existing applications and platforms.
• Develop and maintain scalable microservices and distributed systems.
• Utilize Docker and Kubernetes for containerization and orchestration.
• Implement and maintain CI/CD pipelines with common tools.
• Work with cloud platforms (AWS, Azure, GCP).
• Manage SQL and NoSQL databases to support ML workloads.
• Collaborate with cross-functional teams; ensure reliability and performance.
• Follow software engineering best practices including testing and documentation.

Skills

Software development

Healthcare experience

Python/Java/C#/Node.js

API integration (REST/GraphQL/gRPC)

ML frameworks (TensorFlow PyTorch Scik

Docker & Kubernetes

CI/CD tooling

Cloud platforms (AWS/Azure/GCP)

SQL/NoSQL databases

Distributed systems & microservices

Analytical & collaboration skills

Education

Graduate or Master's in CS/IT/AI/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

AWS

Azure

Google Cloud

Job description

Job Description: Machine Learning & Integration Engineer

Work Setup: Hybrid – Multisite (Taguig, Cebu, Clark, Pampanga, or Davao City)
Work Schedule: Flexible shifting schedule, including night shifts, weekends, and holidays, depending on business requirements
Salary Package: PHP 52,000 – PHP 73,000
Start Date: ASAP
Headcount: 1

Job Summary

We are looking for a skilled Machine Learning & Integration Engineer to develop, implement, and integrate machine learning solutions and AI-driven applications into existing business systems. The ideal candidate will have strong software development and ML engineering experience, with exposure to healthcare environments such as CPO/BPO, payer, provider, or health technology organizations.

The role involves developing scalable applications, integrating APIs and intelligent services, optimizing ML models, and supporting cloud-based and distributed systems.

Key Responsibilities

• Design, develop, and implement machine learning and AI-powered solutions to address business and operational requirements.

• Build, integrate, and maintain software applications using Python, Java, C#, or Node.js.

• Develop and integrate RESTful APIs, GraphQL, and gRPC services to connect applications and external systems.

• Implement and optimize machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Integrate AI/ML capabilities into existing applications, platforms, and enterprise systems.

• Develop and maintain scalable microservices and distributed system architectures.

• Utilize Docker and Kubernetes for application containerization, deployment, and orchestration.

• Implement and maintain 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 optimize SQL and NoSQL databases to support application and ML workloads.

• Collaborate with cross-functional teams to troubleshoot integration issues, improve system performance, and ensure solution reliability.

• Follow software engineering best practices, including code reviews, testing, documentation, and deployment standards.

• Ensure solutions meet security, scalability, and performance requirements, particularly in healthcare-related environments.

Required Qualifications

• Graduate 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 tech environments.

• Strong programming skills in Python, Java, C#, or Node.js.

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

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Knowledge or practical experience in AI development and integration.

• Familiarity with Docker and Kubernetes.

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

• Familiarity with AWS, Azure, or Google Cloud platforms.

• Experience working with SQL and NoSQL databases.

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

• Good analytical, problem-solving, communication, and collaboration skills.

Work Requirements

• Willing to work on a hybrid setup at any of the following locations: Taguig, Cebu, Clark/Pampanga, or Davao City.

• Flexible to work on shifting schedules, including night shifts, weekends, and holidays, depending on business requirements.

• Must be available to start immediately or at the earliest possible date.

Recruitment Process

1. Initial 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 industry experience do you have (CPO/BPO, payer, provider, or health tech)?

4. What is your current or last drawn salary?

5. What are your salary expectations?

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

7. Are you amenable to a hybrid work setup and shifting schedules, including nights, weekends, and holidays?

8. Can you start immediately once selected?