ML/Integration Engineer

Level Up Talent Solutions; Taguig; Hybrid; PHP 580,000 - 815,000; Full time

Benefits offered by this job

Job summary

Level Up Talent Solutions is seeking an ML/Integration Engineer to design and integrate ML solutions for healthcare operations. You will build software integrations, deploy ML models, and ensure reliable cloud-based deployment and automation in a hybrid setup.

The ideal candidate has a strong software development background with hands-on experience in Python/Java/C#, API integration, and modern microservice architectures, willing to work flexible shifts including weekends and holidays as needed.

Qualifications

• Minimum 5 years in IT with 2+ years in healthcare environments (CPO/BPO, payer, provider, or health tech).
• 3–8 years of experience in software development, ML engineering, or AI integration.
• Strong programming skills in Python, Java, C#, or Node.js.

Responsibilities

• Develop and integrate ML and AI solutions into healthcare applications and workflows using Python, Java, C#, or Node.js.
• Build and maintain integrations via RESTful APIs, GraphQL, or gRPC with SQL/NoSQL databases.
• Develop, test, and deploy ML models using TensorFlow, PyTorch, or Scikit-learn.
• Containerize and deploy applications using Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
• Collaborate with teams to troubleshoot issues, maintain documentation, and improve reliability.

Skills

Python

Java

C#

Node.js

RESTful APIs

GraphQL

gRPC

SQL

NoSQL

TensorFlow

PyTorch

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

AWS

Azure

GCP

Microservices

Distributed systems

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, AI, or related field

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Fort Bonifacio, Philippines | Posted on 11/10/2026

At Level Up Talent Solutions, we believe great work starts with feeling supported, trusted, and valued.

We are a people-focused talent company that connects skilled professionals with meaningful long-term opportunities. Our goal is to create an environment where you can do your best work, continue growing, and feel confident in the role you play within a team.

When you join Level Up Talent Solutions , you are not just filling a position. You are becoming part of a community that values clear communication, consistency, and mutual respect. We work closely with you to understand your strengths, your experience, and the type of work environment where you can thrive.

We support our talents through structured onboarding, ongoing guidance, and realistic expectations. You will always know what success looks like and who to turn to when you need support. We believe that when talents feel aligned and empowered, everyone succeeds.

At Level Up Talent Solutions, growth is not only about skills. It is about confidence, stability, and building a career you can be proud of.

We are here to help you level up.

Job Description

Job Title: ML/Integration Engineer

Salary Package: PHP 52,000–73,000

Work Set-up: Hybrid, onsite reporting as needed at the nearest Shearwater Health Philippines site in any of the following locations: Cebu, Manila, Pampanga, or Davao

Account Type: Non-Voice

Work Schedule: Flexible shifting schedule, including weekends, night shifts, and holidays as business needs require

Job Overview

Level Up Talent Solutions is looking for a ML/Integration Engineer to develop and integrate machine learning and AI solutions for healthcare operations.

This role is responsible for building software integrations, connecting applications and data sources, deploying ML models, and supporting reliable systems through cloud platforms and automated deployment processes.

The ideal candidate has a strong background in software development, ML engineering, or AI integration, with relevant healthcare industry experience. They should be proficient in programming, API integration, and modern software architecture.

Responsibilities

• Develop and integrate ML and AI solutions into healthcare applications and workflows using Python, Java, C#, or Node.js.
  
• Build and maintain integrations through RESTful APIs, GraphQL, or gRPC, connecting applications with SQL and NoSQL databases.
  
• Develop, test, and deploy ML models using TensorFlow, PyTorch, or Scikit-learn.
  
• Containerize and deploy applications using Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
  
• Collaborate with technical and business teams to troubleshoot issues, maintain documentation, and improve system reliability, performance, and scalability.
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Computer Engineering, Artificial Intelligence, or a related field.
  
• At least 5 years of relevant IT experience , including 2+ years in healthcare across CPO/BPO, payer, provider, or health tech environments, with 3–8 years of experience in software development, ML engineering, or AI integration .
• Strong programming skills in Python, Java, C#, or Node.js; experience with RESTful APIs, GraphQL, or gRPC; and knowledge of SQL and NoSQL databases.
  
• Experience with TensorFlow, PyTorch, or Scikit-learn; knowledge of AI development, Docker, and Kubernetes; familiarity with AWS, Azure, or Google Cloud; and experience with GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
  
• Strong understanding of software architecture, distributed systems, and microservices; willingness to work hybrid and accommodate shifting schedules, including weekends, night shifts, and holidays as required.

Requirements

Required:

Graduate or Master’s Degree with 5 years in Information technology, Computer science Engineering with at least 2+ years in healthcare (CPO/BPO, payer, provider, or health tech).

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

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

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

Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Experience or knowledgable of AI delopment.

Knowledge of containerization using Docker and Kubernetes.

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

Familiarity with cloud platforms (AWS, Azure, or Google Cloud). Experience with databases including SQL and NoSQL.

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