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Open nowFirst seen 38 hours ago

AWS Cognitive Engineer (Cloud & AI Developer)

PM Consulting1,469 open roles

Where
Manila, Metro Manila, Philippines, Metro Manila, Philippines
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Your applicationOpen nowAWS Cognitive Engineer (Cloud & AI Developer)PM Consulting · Manila, Metro Manila, Philippines, Metro Manila, Philippines

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. PM Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 38 hours ago

PM Consulting median: 1 days open

The posting

Role Overview Our client, a leading technology-driven organization, is seeking an experienced AWS Cognitive Engineer to design and deliver cloud-native applications enhanced with artificial intelligence capabilities.

In this role, you will be responsible for developing scalable, secure, and intelligent solutions on AWS, working closely with cross-functional teams to translate business needs into technical implementations. You will also play a key role in optimizing application performance, enhancing AI models, and ensuring adherence to best practices in cloud and responsible AI.

Key Responsibilities

  • Act as a subject matter expert in AWS cloud services and AI/ML technologies
  • Partner with cross-functional teams to define architecture and drive key technical decisions
  • Design and implement AI-powered features using AWS AI/ML services
  • Build and deploy applications using serverless and microservices-based architectures
  • Promote best practices and support knowledge sharing within the team
  • Monitor application and model performance, and implement improvements for scalability and accuracy
  • Ensure solutions align with security, governance, and responsible AI standards
  • Contribute to project planning, timelines, and successful delivery of milestones

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  • Minimum of 3 years of hands-on experience working with AWS services
  • At least 1 year of experience in AI/ML projects or exposure to AWS AI services is preferred
  • Relevant AWS certifications (e.g., Solutions Architect or Machine Learning Specialty) are an advantage
  • Strong analytical thinking and problem-solving skills
  • Effective communication and collaboration abilities
  • Ability to lead technical discussions and support team development

Technical Skills

  • Strong expertise in core AWS services such as compute, storage, serverless, databases, and identity management
  • Solid understanding of cloud architecture and distributed systems
  • Experience working with AWS AI/ML services (e.g., model development, natural language processing, image recognition)
  • Familiarity with generative AI concepts and prompt engineering techniques
  • Knowledge of MLOps practices, including model deployment and monitoring
  • Experience with serverless frameworks and container technologies (e.g., Docker, Kubernetes)
  • Proficiency in Python or similar programming languages for AI and backend development
  • Understanding of security best practices in cloud and AI environments
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