AWS AI Engineer - Cloud & ML Specialist (Manila)

Recruitify_HR; Manila; On-site; PHP 700,000 - 1,000,000; Full time

Benefits offered by this job

Opportunities for upskilling in AI and cloud technologies

Job summary

A recruitment firm is seeking an AWS Cognitive Engineer to design and develop cloud-native applications utilizing AWS and AI technologies. This full-time role, based onsite in Manila, requires a Bachelor's degree and a minimum of 3 years' experience with AWS services. The ideal candidate should have a strong background in AI/ML projects, along with excellent problem-solving and collaboration skills. Key responsibilities include leading technical decisions, implementing AI-driven features, and ensuring optimal application performance.

Qualifications

• Minimum 3 years of hands-on experience with AWS services.
• At least 1 year of experience in AI/ML projects or AWS AI services preferred.
• AWS Certified Solutions Architect or AWS Machine Learning Specialty is a plus.

Responsibilities

• Serve as a Subject Matter Expert (SME) in AWS and AI technologies.
• Collaborate with cross-functional teams and lead key technical decisions.
• Design and implement AI-driven features using AWS AI/ML services.
• Develop and deploy applications using serverless architecture and microservices on AWS.
• Facilitate knowledge sharing and best practices for cloud and AI development.

Skills

Problem-solving

Analytical skills

Collaboration

Leadership

Education

Bachelor’s degree in Computer Science, IT, Engineering, or related field

Tools

AWS EC2

AWS S3

AWS Lambda

AWS RDS

AWS IAM

SageMaker

Comprehend

Rekognition

Docker

Kubernetes

Python

Job description

A recruitment firm is seeking an AWS Cognitive Engineer to design and develop cloud-native applications utilizing AWS and AI technologies. This full-time role, based onsite in Manila, requires a Bachelor's degree and a minimum of 3 years' experience with AWS services. The ideal candidate should have a strong background in AI/ML projects, along with excellent problem-solving and collaboration skills. Key responsibilities include leading technical decisions, implementing AI-driven features, and ensuring optimal application performance.