Cloud ML Lead - AWS, SageMaker & Terraform

Accenture Southeast Asia; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Accenture Southeast Asia in Kuala Lumpur seeks a Machine Learning Engineer to design and develop ML solutions on an AWS-powered platform, leveraging SageMaker and DevOps practices. You will interact with different platform users and collaborate with diverse teams to deliver scalable AI solutions.

Ideal candidates have Python coding skills, ML/Data Science experience, and strong communication abilities. Willingness to travel for workshops and client engagements is preferred.

Qualifications

• Proficient in Python coding.
• Experience in Machine Learning and Data Science.
• Strong knowledge of SageMaker.
• Ability to incorporate DevOps practices.
• Strong problem solving and collaboration skills.
• Good communication and ability to work with diverse teams.

Responsibilities

• Design and develop ML solutions on an AWS-powered Platform.
• Interact with different Platform users.

Skills

Python

Machine Learning

Data Science

DevOps

Teamwork

Communication

Tools

SageMaker

Terraform

Job description

Accenture Southeast Asia in Kuala Lumpur seeks a Machine Learning Engineer to design and develop ML solutions on an AWS-powered platform, leveraging SageMaker and DevOps practices. You will interact with different platform users and collaborate with diverse teams to deliver scalable AI solutions.

Ideal candidates have Python coding skills, ML/Data Science experience, and strong communication abilities. Willingness to travel for workshops and client engagements is preferred.