ML & Systems Integration Engineer

Gratitude Philippines; Manila; Hybrid; PHP 900.000 - 1.300.000; Vollzeit

Zusammenfassung

Gratitude Philippines is seeking an ML/Integration Engineer to join our hybrid team in a healthcare technology environment. You will drive ML model integration and API-based service collaboration across distributed systems.

The role requires hands-on experience with Python/Java/C#/Node.js, ML frameworks, and cloud/containerized deployments. You will work on scalable microservices and modern CI/CD pipelines within a collaborative team.

Qualifikationen

• 5+ years in Information Technology or 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 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 integrating RESTful APIs, GraphQL, or gRPC services.
• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience or knowledge of AI development.
• 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.

Kenntnisse

Python

Java

C#

Node.js

Ausbildung

Master's degree in Computer Science

Bachelor's degree in Computer Science/IT/AI

Tools

RESTful APIs

GraphQL

gRPC

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

AWS

Azure

Google Cloud

SQL

NoSQL

Microservices

Jobbeschreibung

Gratitude Philippines is seeking an ML/Integration Engineer to join our hybrid team in a healthcare technology environment. You will drive ML model integration and API-based service collaboration across distributed systems.

The role requires hands-on experience with Python/Java/C#/Node.js, ML frameworks, and cloud/containerized deployments. You will work on scalable microservices and modern CI/CD pipelines within a collaborative team.