Automation and AI Solutions Consultant

MediCard Phils., Inc.

Makati

Híbrido

PHP 1.000.000 - 2.000.000

Jornada completa

Hace 3 días
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Descripción de la vacante

MediCard Phils., Inc. is seeking a seasoned AI Engineer to design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.

This role will develop reusable AI services, APIs, SDKs, and accelerators, conduct evaluations and optimization of AI models, and build integrations with enterprise applications, databases, and business processes. The work setup is hybrid with 60% onsite.

Formación

  • Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines.
  • 5+ years of experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.
  • 3+ years of hands-on experience deploying AI/ML solutions into production environments.
  • Proven experience delivering GenAI, MLOps, or AI platform solutions in enterprise settings.
  • Knowledge and experience in Python, Azure, Databricks, Kubernetes, etc.

Responsabilidades

  • Design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.
  • Develop reusable AI services, APIs, SDKs, and accelerators to accelerate AI adoption across business units.
  • Conduct evaluations, benchmarking, and optimization of AI models, prompts, and agentic workflows.
  • Develop integrations between AI agents and enterprise applications, APIs, databases, and business processes.
  • Design and implement enterprise AI engineering platforms and MLOps frameworks.
  • Help establish enterprise standards for AI engineering, GenAI development, and Agentic AI governance.

Conocimientos

AI Engineering
Machine Learning Engineering
Data Engineering
Software Engineering
Python
Azure
Databricks
Kubernetes

Educación

Bachelor's Degree in Computer Science / AI / Software Engineering / Data Science

Herramientas

Python
Azure
Databricks
Kubernetes

Descripción del empleo

MediCard Phils., Inc.is one of the country's leading HMOand the only HMOfounded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard. The competition is vast, and the benefits being offered by the competitors are tempting. However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality.

MediCardnow boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement.

Key Responsibilities
  • Design, develop, and deploy enterprise-scale AI and Generative AI solutions that solve complex business challenges.

  • Develop reusable AI services, APIs, SDKs, and accelerators to accelerate AI adoption across business units.

  • Conduct evaluations, benchmarking, and optimization of AI models, prompts, and agentic workflows

  • Develop integrations between AI agents and enterprise applications, APIs, databases, and business processes.

  • Design and implement enterprise AI engineering platforms and MLOps frameworks.

  • Help establish enterprise standards for AI engineering, GenAI development, and Agentic AI governance.

Minimum Qualifications
Education
  • Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, Data Science, or related disciplines.

Experience
  • 5+ years of experience in AI Engineering, Machine Learning Engineering, Data Engineering, or Software Engineering.

  • 3+ years of hands-on experience deploying AI/ML solutions into production environments.

  • Proven experience delivering GenAI, MLOps, or AI platform solutions in enterprise settings

  • Knowledge and experience in Python, Azure, Databricks, Kubernetes, etc.

Work Setup: Hybrid - 60% Onsite

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

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