ML Integration Engineer (Hybrid) – Cebu/Taguig

Gratitude Philippines; Philippinen; Hybrid; PHP 580.000 - 815.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Multiple site options

Zusammenfassung

Gratitude Philippines is hiring an ML/Integration Engineer to design, deploy, and scale ML solutions within enterprise systems. You will connect AI models to production through robust APIs and microservices, collaborating with data scientists and engineers across healthcare projects.

Key requirements include 3–8 years in IT/software/ML integration, strong Python/Java/C#/Node.js skills, and experience with REST/GraphQL/gRPC, Docker, Kubernetes, and cloud platforms.

Qualifikationen

• 5 years in Information Technology or CS with healthcare exposure.
• Bachelor's or Master's in CS/IT/AI or related field required.
• 3–8 years in software development, ML engineering, or AI integration.
• Strong programming in Python, Java, C#, or Node.js.
• Experience integrating RESTful APIs, GraphQL, or gRPC.

Aufgaben

• Design, develop, and deploy ML models into production environments.
• Integrate ML/AI services with enterprise apps via RESTful APIs, GraphQL, and gRPC.
• Build and maintain scalable microservices and distributed systems.
• Implement CI/CD pipelines for ML deployment and integration workflows.
• Containerize apps and models using Docker and Kubernetes.
• Collaborate with data scientists, software engineers, and healthcare stakeholders.
• Ensure model performance, reliability, and monitoring in production.
• Work with cloud platforms (AWS, Azure, GCP) for ML workloads.
• Maintain databases (SQL and NoSQL) supporting ML workflows.

Kenntnisse

Python

Java

C#

Node.js

ML frameworks

Ausbildung

Bachelor's/Master's in CS/IT/AI

5 years IT with healthcare exp

Tools

RESTful APIs

GraphQL

gRPC

Docker

Kubernetes

CI/CD tools

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

AWS

Azure

GCP

SQL

NoSQL

Jobbeschreibung

Gratitude Philippines is hiring an ML/Integration Engineer to design, deploy, and scale ML solutions within enterprise systems. You will connect AI models to production through robust APIs and microservices, collaborating with data scientists and engineers across healthcare projects.

Key requirements include 3–8 years in IT/software/ML integration, strong Python/Java/C#/Node.js skills, and experience with REST/GraphQL/gRPC, Docker, Kubernetes, and cloud platforms.