MLOps Engineer – AWS-Focused ML Infrastructure 5

KEYSIGHT TECHNOLOGIES SINGAPORE (SALES) PTE. LTD.

Yishun, Singapore
**
Aws sagemaker and bedrock expertise
Terraform or cloudformation iac
Python scripting and boto3
** Keysight Technologies Singapore is seeking an MLOps Engineer with a focus on AWS to support machine learning solutions in manufacturing and semiconductor analytics. The role involves collaborating with machine learning engineers to automate ML workflows, manage infrastructure, and ensure high availability and compliance in production environments. **

Job Summary

  • This role serves as a critical bridge between Machine Learning Engineers and production environments to ensure seamless ML workflows.
  • You will operationalize AWS Bedrock workflows for Generative AI while deploying classical ML models for predictive maintenance and anomaly detection.
  • The position requires enforcing security and compliance best practices in regulated industrial settings while optimizing costs through auto-scaling.

Matching Summary

Match Score: 75

** Keysight Technologies Singapore is seeking an MLOps Engineer with a focus on AWS to support machine learning solutions in manufacturing and semiconductor analytics. The role involves collaborating with machine learning engineers to automate ML workflows, manage infrastructure, and ensure high availability and compliance in production environments. **

Skills & Requirements

Must-have

  • AWS SageMaker and Bedrock expertise
  • Terraform or CloudFormation IaC
  • Python scripting and Boto3
  • ECR container management
  • CI/CD pipeline automation
  • Model drift detection and monitoring

Nice-to-have

  • Manufacturing domain experience
  • Semiconductor industry background
  • AWS Certified Machine Learning Specialty
  • Agile methodology participation
  • SOC 2 or ISO 27001 knowledge
  • Hybrid cloud integration skills

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 3–5 years of MLOps or DevOps experience
  • Deep expertise in AWS services for ML workflows
  • Strong proficiency in EC2-based ML deployments
  • Experience with load balancing and scaling for ML inference

Work Rights

Not specified

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