Hybrid AI/ML Integration Engineer | Cloud & MLOps

Shearwater CPO® - Home of Clinicians; Metro Manila; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

HMO on Day 1 with 2 Dependents upon no

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 to join our growing team in a full-time, hybrid role. You will build, deploy, and integrate AI/ML solutions into enterprise applications, collaborating with Data Science, Engineering, and DevOps teams to deliver secure, scalable AI-powered products.

You will develop APIs and ML pipelines, manage cloud deployments on AWS, Azure, and GCP, monitor performance, enforce security and governance standards, and maintain clear documentation.

Qualifications

• 3–8 years of experience in software development, ML engineering, or AI integration.
• Proficient 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

ML engineering

APIs integration

Cloud deployments

Security & governance

Documentation

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Git

Azure DevOps

Jenkins

Kafka

RabbitMQ

Prometheus

Grafana

Power BI

Tableau

Jira

Confluence

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

SQL

NoSQL

Job description

Shearwater Health is seeking an AI ML/Integration Engineer to join our growing team in a full-time, hybrid role. You will build, deploy, and integrate AI/ML solutions into enterprise applications, collaborating with Data Science, Engineering, and DevOps teams to deliver secure, scalable AI-powered products.

You will develop APIs and ML pipelines, manage cloud deployments on AWS, Azure, and GCP, monitor performance, enforce security and governance standards, and maintain clear documentation.