Hybrid AI/ML Solutions Engineer

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

Bonus

Service Incentive Leave with Leave Con

Job summary

Shearwater CPO® - Home of Clinicians is seeking an AI ML/Integration Engineer to join our hybrid team. You will build, deploy, and integrate AI/ML solutions into enterprise apps, collaborating with Data Science, Engineering, and DevOps to deliver secure, scalable AI-powered products.

The role requires 3–8 years in software/ML, with TensorFlow, PyTorch or Scikit-learn expertise, and familiarity with cloud platforms. Healthcare experience is a plus. We offer growth, strong salary, and incentives.

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.
• Knowledge of 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

REST APIs

GraphQL

CI/CD

Docker

Kubernetes

Cloud (AWS/Azure/GCP)

Education

Bachelor's degree in Computer Science, IT, AI, Engineering, or related field

Tools

Git

Azure DevOps

Jenkins

Kafka

RabbitMQ

Prometheus

Grafana

Power BI

Tableau

Jira

Confluence

Job description

Shearwater CPO® - Home of Clinicians is seeking an AI ML/Integration Engineer to join our hybrid team. You will build, deploy, and integrate AI/ML solutions into enterprise apps, collaborating with Data Science, Engineering, and DevOps to deliver secure, scalable AI-powered products.

The role requires 3–8 years in software/ML, with TensorFlow, PyTorch or Scikit-learn expertise, and familiarity with cloud platforms. Healthcare experience is a plus. We offer growth, strong salary, and incentives.