Machine Learning & AI Integration Engineer (Healthcare IT)

Machine Learning & AI Integration Engineer (Healthcare IT)

**Work Setup:** Hybrid
**Work Locations:** Taguig | Cebu | Clark, Pampanga | Davao City
**Work Schedule:** Flexible shifting schedule (may include night shifts, weekends, and holidays based on business requirements)
**Salary Package:** PHP 52,000 – PHP 73,000

Job Overview

We are looking for a skilled **Machine Learning & AI Integration Engineer** to support the development, integration, and deployment of AI-powered applications and software solutions within a healthcare technology environment.

The ideal candidate will have a strong background in software development, machine learning, API integration, and cloud-based technologies, preferably with at least two years of experience in the healthcare industry, including healthcare BPO/CPO, payer, provider, or health technology environments.

This role requires hands-on technical expertise in programming, ML frameworks, distributed systems, microservices, and modern software development practices.

Key Responsibilities

- Develop, integrate, and maintain AI/ML-powered applications and software solutions.
- Build and integrate RESTful APIs, GraphQL, and gRPC services.
- Develop and optimize machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Design, implement, and maintain scalable software architectures, distributed systems, and microservices.
- Support application deployment using containerization technologies such as Docker and Kubernetes.
- Implement and maintain CI/CD pipelines to streamline software development and deployment.
- Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
- Manage and optimize SQL and NoSQL databases.
- Collaborate with cross-functional teams to deliver reliable, scalable, and efficient AI-driven solutions.
- Ensure application performance, security, reliability, and maintainability.

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 experience in the healthcare industry, preferably in healthcare BPO/CPO, payer, provider, or health technology environments.
- Strong programming skills in at least one of the following: 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.
- Working knowledge of AI development and integration.
- Knowledge of Docker and Kubernetes.
- Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience working with SQL and NoSQL databases.
- Strong understanding of software architecture, distributed systems, and microservices.
- Willingness to work on a hybrid setup and shifting schedules, including weekends, night shifts, and holidays when required.

Recruitment Process

1. Initial Candidate Validation
2. Zwayam Profile Creation
3. HR Interview
4. Hiring Manager Interview
5. Onboarding

**Interested candidates are encouraged to apply by submitting their updated resumes for evaluation.**