AI ML/Integration Engineer

Shearwater CPO® - Home of Clinicians

Philippines

Hybrid

PHP 900,000 - 1,300,000

Full time

5 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
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

About us

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.
  • Strong programming skills in Python, Java, C#, or JavaScript/TypeScript.
  • 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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