AI ML Integration Engineer

Shearwater CPO® - Home of Clinicians

Metro Manila

Hybrid

PHP 1,200,000 - 2,200,000

Full time

4 days ago
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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

Job Description:


Shearwater Health is a leading provider of healthcare staffing and technology solutions. Our mission is to empower healthcare professionals to deliver exceptional patient care. With a focus on innovation and collaboration, we are transforming the way healthcare services are delivered.


About The Role

We are seeking AI ML/Integration Engineer to join our growing team at Shearwater Health. This is a full‑time, hybrid setup. Join our team to build, deploy, and integrate AI/ML solutions into enterprise applications. You'll work with Data Science, Engineering, and DevOps teams to deliver secure, scalable, and reliable AI-powered products.


Benefits


  • Hybrid work setup

  • HMO on Day 1 with 2 Dependents upon regularization.

  • Group Life Insurance

  • Highly Competitive Salary

  • Annual Salary Increase and Performance Bonus

  • Service Incentive Leave (SIL) with Leave Conversion

  • Work-Life Integration


Key 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.


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.


Preferred Skills


  • Experience deploying AI/ML and Generative AI solutions.

  • Knowledge of Agile/Scrum methodologies.

  • Tools: Git, Azure DevOps, Jenkins, Kafka, RabbitMQ, Prometheus, Grafana, Power BI, Tableau, Jira, and Confluence.

  • Experience with APIs (REST, GraphQL, gRPC), Docker, Kubernetes, and CI/CD tools.

  • Experience with AWS, Azure, or Google Cloud.

  • Familiarity with SQL and NoSQL databases.

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