AI/ML Architect (AWS)

TL;DR

AI/ML Architect (AWS): Designing and implementing scalable machine learning solutions on the AWS cloud platform with an accent on model development lifecycles, technical consulting, and integration. Focus on building high-performance architectures, mentoring technical teams, and delivering strategic AI-driven business value to clients.

Location: Must be based in Kallang Bahru, Singapore

Company

hirify.global is a leading global provider of technology products and services, bridging the gap between technology manufacturers and B2B experts through an expansive digital platform.

What you will do

• Design and implement secure, high-performance AI and ML architectures on AWS.
• Act as a Subject Matter Expert in assisting customers to build solutions for complex business challenges.
• Develop and deploy machine learning models using the AWS AI/ML stack.
• Create technical assets including white papers, reference implementations, and labs.
• Mentor the broader AWS technical team and facilitate knowledge sharing on design patterns.
• Lead customer scoping workshops and contribute to statements of work for implementation services.

Requirements

• 5+ years of experience in a technical consulting or business analyst role.
• 3+ years of experience working with complex AWS cloud environments.
• Deep proficiency in Python or R with hands-on experience building prototype applications.
• Strong experience with deep learning libraries such as PyTorch, TensorFlow, or ScikitLearn.
• Extensive knowledge of AWS services including SageMaker, Rekognition, Comprehend, and Lex.
• Fluent English communication skills are essential for the role.

Nice to have

• AWS Certified Machine Learning – Specialty certification.
• AWS Certified Machine Learning Engineer – Associate.
• AWS Certified Data Engineer – Associate.
• Experience with data visualization tools like Tableau or QuickSight.

Culture & Benefits

• Opportunity to operate within a leading global services partner for AWS.
• Focus on continuous personal and professional skills development.
• Exposure to high-level architectural discussions and thought leadership within the industry.
• Collaborative environment involving local and regional technical communities.