ML / Integration Engineer

PM Consulting; Taguig; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

PM Consulting is seeking an experienced AI/ML software engineer in Metro Manila to design and implement AI-enabled software solutions for healthcare clients. You will integrate RESTful APIs, build microservices, and deploy ML models using TensorFlow/PyTorch in cloud environments.

Ideal candidates have 3–8 years in software/ML and at least 2 years in healthcare-related projects, with strong Python/Java/C# skills and familiarity with Docker/Kubernetes.

Qualifications

• Bachelor's or master's degree in CS/IT/AI/Engineering or related field.
• 3–8 years in software development, ML engineering, or AI integration.
• At least 2 years in healthcare industry (BPO, payer, provider, or health tech).

Skills

Python

Java

C#

Node.js

RESTful APIs

GraphQL

gRPC

TensorFlow

PyTorch

Scikit-learn

SQL

NoSQL

Microservices

Distributed systems

Education

Bachelor's or Master's degree in CS/IT/AI/Engineering

Tools

Docker

Kubernetes

GitHub Actions

Azure DevOps

Jenkins

GitLab CI

AWS

Azure

Google Cloud

Job description

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, Machine Learning Engineering, or AI integration.
• At least 2 years of experience in the healthcare industry, preferably in healthcare BPO, payer, provider, or health technology environments.
• Strong programming skills in Python, Java, C#, or Node.js.
• Experience integrating RESTful APIs, GraphQL, or gRPC services.
• Hands‑on experience with AI/ML development and frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Experience working with SQL and NoSQL databases.
• Strong understanding of software architecture, distributed systems, and microservices.

Technical Skills

• Programming: Python, Java, C#, Node.js
• AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• API Integration: RESTful APIs, GraphQL, gRPC
• Containerization: Docker, Kubernetes
• CI/CD: GitHub Actions, Azure DevOps, Jenkins, GitLab CI
• Cloud Platforms: AWS, Microsoft Azure, Google Cloud
• Databases: SQL and NoSQL