ML/Integration Engineer

WE'RE HIRING: ML/INTEGRATION ENGINEER

Build Smarter Solutions. Connect Systems. Power AI Innovation.

? Work Locations: Manila | Cebu | Pampanga | Davao

? Work Arrangement: Hybrid

? Salary Package: PHP 50,000–PHP 70,000

Schedule: Flexible to work on shifting schedules, including nights, weekends, and holidays, as required by the business

Job Category: IT | Software Engineering | Artificial Intelligence | Machine Learning | Systems Integration ABOUT THE OPPORTUNITY

Are you passionate about Artificial Intelligence, Machine Learning, software development, and system integration ? Do you enjoy building intelligent applications, connecting different technologies, and developing solutions that improve business operations?

We are looking for a skilled and motivated ML/Integration Engineer to join our growing team! This opportunity is ideal for technology professionals who want to apply their expertise in AI development, machine learning, APIs, cloud technologies, and modern software architecture to build scalable and reliable solutions.

In this role, you will contribute to the development and integration of intelligent systems, support AI-driven initiatives, and help ensure seamless communication between applications, services, and data platforms. Candidates with experience in healthcare technology, healthcare BPO operations, payer or provider systems, or healthcare-related software solutions are strongly encouraged to apply.

If you enjoy solving complex technical challenges and working with emerging technologies, we'd love to hear from you!

KEY RESPONSIBILITIES

As an ML/Integration Engineer, you will be responsible for supporting the development, implementation, and integration of machine learning solutions and software applications.

Your responsibilities may include:

• Machine Learning and AI Development: Develop, implement, and support machine learning models and AI-powered applications using appropriate frameworks and programming languages.

• System Integration: Design, develop, and maintain integrations between applications, platforms, and services using RESTful APIs, GraphQL, gRPC, and other integration technologies.

• Software Development: Write, test, debug, and maintain clean, efficient, and scalable code using Python, Java, C#, Node.js, or other relevant programming technologies.

• AI Solution Integration: Integrate AI and machine learning capabilities into existing systems, business applications, and digital workflows.

• API Development and Management: Support API development, connectivity, troubleshooting, performance optimization, and reliable data exchange across systems.

• Cloud and Infrastructure Support: Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud to support application deployment and integration.

• Containerization and Deployment: Use Docker and Kubernetes to support application packaging, deployment, scalability, and environment consistency.

• CI/CD and Automation: Support continuous integration and continuous deployment processes using tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

• Database Management and Integration: Work with SQL and NoSQL databases to support data storage, retrieval, processing, and application integration.

• Software Architecture: Apply knowledge of microservices, distributed systems, and software architecture to help build scalable and maintainable solutions.

• Testing and Troubleshooting: Identify and resolve technical issues involving applications, APIs, integrations, machine learning components, and system performance.

• Cross-Functional Collaboration: Collaborate with software engineers, data professionals, technical teams, and business stakeholders to deliver effective technology solutions.

• Continuous Improvement: Stay updated on emerging AI technologies, machine learning practices, integration frameworks, and software engineering standards.

QUALIFICATIONS AND REQUIREMENTS

We are looking for candidates who possess a strong technical foundation and a genuine interest in AI, machine learning, and software integration.

Educational Background and Experience

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

• At least 5 years of experience in Information Technology, Computer Science, or Engineering , with at least 2 years of healthcare industry experience , preferably in healthcare BPO/CPO, payer, provider, or health technology environments.

• Approximately 3–8 years of experience in software development, machine learning engineering, AI integration, or related technical roles .

• Relevant experience in AI development, machine learning implementation, software engineering, or system integration.

Technical Skills

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

• Experience integrating RESTful APIs, GraphQL, or gRPC services .

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

• Working knowledge of AI development concepts, tools, and implementation practices.

• Knowledge of containerization technologies, particularly 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, Microsoft Azure, or Google Cloud Platform .

• Experience working with relational and non-relational databases, including SQL and NoSQL.

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

Additional Competencies

• Strong analytical, logical reasoning, and problem-solving skills.

• Ability to troubleshoot technical issues and develop practical solutions.

• Good communication and collaboration skills.

• Ability to work independently while coordinating with cross-functional teams.

• Willingness to learn new technologies and adapt to evolving business and technical requirements.

• Flexibility to work shifting schedules, including night shifts, weekends, and holidays, when required.

WHY APPLY?

Competitive Compensation – Enjoy a salary package ranging from PHP 52,000 to PHP 73,000.

Hybrid Work Arrangement – Benefit from a hybrid setup that supports both collaboration and flexibility.

Multiple Work Locations – Opportunities are open to qualified applicants based in Manila, Cebu, Pampanga, and Davao.

Work with Emerging Technologies – Apply your skills in AI, machine learning, APIs, cloud computing, and modern software engineering.

Healthcare Technology Exposure – Put your technical expertise to work in an environment where healthcare industry knowledge is valuable.

Career Growth Opportunities – Strengthen your expertise in AI development, system integration, and scalable software solutions.

ASAP Hiring – We are looking for one qualified candidate who can join as soon as possible.

WHO SHOULD APPLY?

This opportunity is ideal for:

• Machine Learning Engineers looking to expand into system integration.

• AI Engineers with experience integrating intelligent applications into business systems.

• Software Engineers with hands-on experience in APIs, cloud platforms, and AI technologies.

• Integration Engineers familiar with distributed systems, microservices, and modern development tools.

• Healthcare IT professionals with software engineering, AI, or integration experience.

• Technology professionals who enjoy building scalable solutions and solving complex technical challenges.

If you have the right combination of software engineering skills, AI/ML knowledge, integration experience, and healthcare industry exposure, we encourage you to apply!

HOW TO APPLY

Interested and qualified candidates are invited to submit their updated resumes to:

?

Email Subject: Application – ML/Integration Engineer

Please include your updated resume highlighting your relevant experience in software development, AI/ML, system integration, cloud technologies, and healthcare IT, if applicable.

Take the next step in your technology career. Apply now and be part of building smarter, more connected solutions!