AI/ML Integration & MLOps Engineer

Shearwater Health

Philippines

On-site

PHP 900,000 - 1,400,000

Full time

10 days ago
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Job summary

Shearwater Health is seeking an ML Integration Engineer to deploy ML models across enterprise systems and build scalable APIs. You will collaborate with Data Science, Engineering, and DevOps teams to ensure secure, governed AI solutions aligned with business needs.

You will design/implement CI/CD for ML, optimize performance, and deploy on cloud platforms while maintaining thorough documentation and governance.

Qualifications

  • Graduate or Master’s Degree in Information Technology, Computer Science, Engineering with at least 2+ years in healthcare settings.
  • Bachelor's or Master's in Computer Science, Information Technology, AI, or related field.
  • 3–8 years of software development, ML engineering, or AI integration experience.

Responsibilities

  • Integrate Machine Learning models into web, mobile, and enterprise applications.
  • Design and develop APIs and microservices to expose ML model capabilities.
  • Collaborate with Data Scientists, ML Engineers, Software Engineers, and DevOps teams to deploy AI solutions.
  • Build and maintain CI/CD pipelines for ML model deployment (MLOps).
  • Optimize model inference performance, latency, and scalability.
  • Deploy ML solutions on cloud platforms such as AWS, Azure, or Google Cloud.
  • Monitor production ML systems for performance, availability, and model drift.
  • Troubleshoot integration issues and improve system reliability.
  • Implement security controls for AI applications, including authentication, authorization, and data privacy.
  • Integrate AI services such as LLMs, Generative AI, NLP, and Computer Vision into business applications.
  • Develop automation workflows using APIs, event-driven architecture, and messaging platforms.
  • Maintain technical documentation, deployment guides, and architecture diagrams.
  • Ensure compliance with enterprise security, governance, and regulatory requirements

Skills

Python
Java
Node.js
APIs/REST
ML deployment
CI/CD
Cloud platforms
Security/compliance

Education

Bachelor/Master in CS/IT/AI
Healthcare experience

Tools

Docker
Kubernetes
Jira
Azure DevOps
GitHub Actions
SQL/NoSQL

Job description

Shearwater Health is seeking an ML Integration Engineer to deploy ML models across enterprise systems and build scalable APIs. You will collaborate with Data Science, Engineering, and DevOps teams to ensure secure, governed AI solutions aligned with business needs.

You will design/implement CI/CD for ML, optimize performance, and deploy on cloud platforms while maintaining thorough documentation and governance.

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