ML / Integration Engineer
52000 - 73000 PhpGratitude Inc
Work Location: Taguig / Cebu / Clark (Pampanga) / Davao City
Work Setup: Hybrid
Experience: 3–8 Years
Healthcare Experience: Minimum 2 Years
Salary Budget: PHP 52,000 – 73,000 (Package)
Work Schedule: Flexible / Shifting (including night shifts, weekends, and holidays, depending on business requirements)
Joining: Immediate
Headcount: 1
Job Overview
We are looking for a skilled ML / Integration Engineer with experience in software development, machine learning, and AI integration. The ideal candidate will be responsible for developing, implementing, and integrating machine learning solutions and AI-powered applications with enterprise systems.
The candidate should have strong programming skills, experience working with APIs and cloud platforms, and a good understanding of microservices, distributed systems, and software architecture. Prior experience in the healthcare industry, including CPO/BPO, payer, provider, or health technology environments, is required.
Key Responsibilities
Develop, implement, and maintain machine learning and AI-powered applications.
Integrate AI/ML solutions with existing enterprise applications and business systems.
Design, develop, and manage RESTful APIs, GraphQL, and gRPC integrations.
Build and optimize scalable software applications using Python, Java, C#, or Node.js.
Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Deploy and manage applications using Docker and Kubernetes.
Implement 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.
Collaborate with cross-functional teams to deliver scalable and reliable AI/ML solutions.
Troubleshoot integration issues and ensure application performance, security, and reliability.
Required Skills
Machine Learning (ML) Engineering
Artificial Intelligence (AI) Development
Software Development
Python / Java / C# / Node.js
REST API Integration
GraphQL / gRPC
TensorFlow / PyTorch / Scikit-learn
Docker and Kubernetes
CI/CD Pipeline
GitHub Actions / Jenkins / Azure DevOps / GitLab CI
AWS / Azure / Google Cloud
SQL and NoSQL Databases
Microservices Architecture
Distributed Systems
Healthcare Technology Integration
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.
Minimum 2 years of experience in healthcare environments such as CPO/BPO, payer, provider, or health technology.
Strong programming and problem-solving skills.
Hands-on experience with API integration and ML frameworks.
Knowledge of cloud infrastructure, containerization, and CI/CD practices.
Strong understanding of software architecture, microservices, and distributed systems.
Work Requirements
Must be comfortable working in a hybrid work setup.
Must be flexible to work in rotational or shifting schedules, including nights, weekends, and holidays, based on business requirements.
Must be willing to work from one of the designated locations: Taguig, Cebu, Clark (Pampanga), or Davao City.
Immediate joiners are preferred.
Recruitment Process
Candidate Profile Validation
Zwayam Profile Creation
HR Interview
Hiring Manager Interview
Onboarding
Candidate Screening Questions
What is your highest educational qualification?
How many years of experience do you have in software development, ML engineering, or AI integration?
How many years of experience do you have in the healthcare industry (CPO/BPO, payer, provider, or health tech)?
What was your last drawn salary?
What are your salary expectations?
Which location do you prefer: Taguig, Cebu, Clark (Pampanga), or Davao?
Are you comfortable working in a hybrid setup?
Are you willing to work in shifting schedules, including night shifts, weekends, and holidays?
Can you join immediately once selected?
Note: Candidates must meet the minimum healthcare experience requirement and be comfortable with the hybrid work arrangement and flexible schedule.
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