Healthcare ML & Integration Engineer (Hybrid)

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

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.