Hybrid AI/ML Systems Integrator

Shearwater CPO® - Home of Clinicians; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work setup

HMO on Day 1 with 2 Dependents upon re

Group Life Insurance

Highly Competitive Salary

Annual Salary Increase and Performance

Service Incentive Leave (SIL) with

Work-Life Integration

Job summary

Shearwater Health is seeking an AI ML/Integration Engineer for a full-time hybrid role in the Philippines. You will deploy and integrate AI/ML solutions into enterprise apps, develop APIs and ML pipelines, and manage cloud deployments across AWS, Azure, or GCP.

You will work with Data Science, Engineering, and DevOps teams to deliver secure, scalable AI-powered products, with emphasis on security, governance, and documentation.

Qualifications

• Bachelor's degree in Computer Science, IT, AI, Engineering, or related field.
• 3-8 years of experience in software development, ML engineering, or AI integration.
• Must be knowledgeable with TensorFlow, PyTorch, or Scikit-learn.
• Healthcare industry experience is a plus.

Responsibilities

• Deploy and integrate AI/ML solutions into enterprise applications.
• Develop APIs, microservices, and automated MLOps pipelines.
• Manage cloud-based AI deployments (AWS, Azure, GCP).
• Monitor, optimize, and troubleshoot production AI systems.
• Ensure security, compliance, and governance standards.
• Implement advanced AI technologies, including Generative AI and LLMs.
• Maintain technical documentation and deployment best practices.

Skills

TensorFlow

PyTorch

Scikit-learn

Python

Java

JavaScript/TypeScript

CI/CD

Education

Bachelor's degree in Computer Science / IT / AI / Engineering

Tools

Git

Azure DevOps

Jenkins

Kafka

RabbitMQ

Prometheus

Grafana

Power BI

Tableau

Jira

Confluence

Docker

Kubernetes

REST

GraphQL

gRPC

AWS

Azure

Google Cloud

SQL

NoSQL

Job description

Shearwater Health is seeking an AI ML/Integration Engineer for a full-time hybrid role in the Philippines. You will deploy and integrate AI/ML solutions into enterprise apps, develop APIs and ML pipelines, and manage cloud deployments across AWS, Azure, or GCP.

You will work with Data Science, Engineering, and DevOps teams to deliver secure, scalable AI-powered products, with emphasis on security, governance, and documentation.