AWS Cognitive Engineer

Recruitify_HR; Taguig; On-site; PHP 800,000 - 1,600,000; Full time

Benefits offered by this job

Equity Incentive Plan

Performance Bonus

HMO

Annual Company Trip

Free Meals

Sleeping Quarters

Sleeping Quarters

Job summary

A tech recruitment agency is seeking an experienced Application Developer specializing in AWS and AI in Taguig. The successful candidate will design cloud-native applications and collaborate across teams to deliver intelligent solutions. Key qualifications include a Bachelor's degree in a relevant field and at least 3 years of AWS experience. The role also emphasizes strong problem-solving skills and expertise in AI/ML services. The position comes with various perks such as performance bonuses and health insurance.

Qualifications

• Bachelor’s degree is required.
• Minimum 3 years of hands-on experience with AWS services.
• At least 1 year in AI/ML projects preferred.
• Certifications like AWS Certified Solutions Architect are a plus.
• Expert proficiency in AWS including EC2, S3, Lambda.
• Excellent communication and collaboration abilities.
• Ability to lead technical discussions and mentor team members.
• Proficiency in AWS services like EC2, S3, Lambda, RDS, IAM.
• Experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition).
• Knowledge of serverless and containerization (Docker, Kubernetes).
• Python or other languages for AI integration.

Responsibilities

• Design and configure cloud-native applications integrating AI capabilities.
• Collaborate with teams to deliver scalable, secure solutions.
• Monitor application and AI model performance for improvements.
• Develop and deploy applications using serverless architecture and microservices on AWS.
• Facilitate knowledge sharing and best practices for cloud and AI development.
• Monitor application and AI model performance; implement improvements for scalability and accuracy.
• Ensure compliance with security, governance, and responsible AI standards.
• Assist in project planning, timelines, and adherence to delivery milestones.

Skills

AWS expertise

AI/ML experience

Problem-solving skills

Communication skills

Collaboration skills

Education

Bachelor’s degree in Computer Science, IT or Engineering

Tools

Amazon Web Services (AWS)

Python

Docker

Kubernetes

Job description

On-site - Taguig 3-5 Yrs Exp Bachelor Full-time

Job Description

Employee Recognition and Rewards

Equity Incentive Plan, Performance Bonus, Incentives

Insurance Health & Wellness

HMO

Annual Company Trip, Free Meals, Sleeping Quarters

Description

As an Application Developer specializing in AWS and AI, you will design, build, and configure cloud-native applications that integrate advanced AI capabilities to meet business objectives. Your role involves collaborating across teams to deliver scalable, secure, and intelligent solutions. You will troubleshoot issues, implement enhancements, and ensure optimal performance of applications leveraging AWS and AI services.

• 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 (e.g., SageMaker, Bedrock, Rekognition).
• Develop and deploy applications using serverless architecture and microservices on AWS.
• Facilitate knowledge sharing and best practices for cloud and AI development.
• Monitor application and AI model performance; implement improvements for scalability and accuracy.
• Ensure compliance with security, governance, and responsible AI standards.
• Assist in project planning, timelines, and adherence to delivery milestones.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• Experience: 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.
• Certifications: AWS Certified Solutions Architect or AWS Machine Learning Specialty is a plus.
• Soft Skills: Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to lead technical discussions and mentor team members.
• Professional & Technical Skills: Expert proficiency in Amazon Web Services (AWS) including EC2, S3, Lambda, RDS, and IAM.
• Strong understanding of cloud computing concepts and architecture.
• Experience with AWS AI/ML services (SageMaker, Bedrock, Comprehend, Rekognition).
• Familiarity with generative AI concepts and prompt engineering.
• Knowledge of MLOps practices for deploying and monitoring machine learning models.
• Experience with serverless architecture and containerization (Docker, Kubernetes).
• Proficiency in Python or other programming languages for AI integration.
• Knowledge of security best practices in cloud and AI environments.

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