Senior ML Ops Engineer: Scale AI Pipelines in Cloud

TE Connectivity; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A leading technology company in Singapore is seeking a Senior Machine Learning Ops Engineer to lead the advancement of ML workloads. You will collaborate with data scientists to deploy models on the cloud, utilizing AWS technologies like SageMaker. Responsibilities include developing CI/CD pipelines, ensuring operational efficiency, and providing architectural best practices. Ideal candidates should have extensive experience with ML operations and strong programming skills in Python. This role demands excellent communication and problem-solving skills.

Qualifications

• 5+ years of experience in developing CI / CD & ML pipelines.
• Strong programming skills in Python, R, etc.
• Experience with AWS cloud technologies.
• Ability to work with multiple projects and teams.

Responsibilities

• Understand and innovate current state architecture for ML.
• Develop CI/CD and ML pipelines for model lifecycle.
• Implement comprehensive monitoring and logging systems.
• Collaborate with stakeholders for strategic initiatives.

Skills

Machine Learning Operations

DevOps workflows

Python

AWS technologies

Containerization

Agile methodology

Big data processing

Education

B.S or Master’s in computer science or AI

Tools

AWS SageMaker

Git

Docker

Kubernetes

Apache Spark

AWS Code Build

Jenkins

Job description

A leading technology company in Singapore is seeking a Senior Machine Learning Ops Engineer to lead the advancement of ML workloads. You will collaborate with data scientists to deploy models on the cloud, utilizing AWS technologies like SageMaker. Responsibilities include developing CI/CD pipelines, ensuring operational efficiency, and providing architectural best practices. Ideal candidates should have extensive experience with ML operations and strong programming skills in Python. This role demands excellent communication and problem-solving skills.