Senior MLOps Engineer - AWS AI Pipelines & Scale

Keysight Technologies SAles Spain SL.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Job summary

Keysight Technologies is expanding its engineering team with an MLOps Engineer specializing in AWS to deploy and scale ML solutions across our manufacturing analytics platforms.

You will collaborate with ML engineers to automate pipelines, monitor model performance, and manage infrastructure for production-ready ML workstreams on AWS.

This mid-level role emphasizes DevOps in ML contexts with reliability, security, and cost efficiency in regulated industrial environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 3–5 years of experience in MLOps, DevOps, or cloud engineering roles with production ML deployments.
• Deep expertise in AWS services for ML and data workflows including SageMaker, Bedrock, EMR, Lambda, S3, ECR, and orchestration tools.

Responsibilities

• Design, implement, and maintain end-to-end MLOps pipelines on AWS, including CI/CD automation for training, validation, deployment and retraining.
• Operationalize AWS Bedrock workflows and ensure scalable, reliable data processing pipelines.
• Deploy and monitor models with common ML libraries and drift detection.
• Manage infrastructure as code with Terraform or CloudFormation to provision AWS resources.
• Implement comprehensive monitoring with CloudWatch, X-Ray, and Prometheus/Grafana integrations.
• Collaborate in Agile teams to conduct A/B testing, version models, and automate rollbacks.
• Enforce security and compliance best practices, including IAM, VPCs, encryption, and audit logging.
• Troubleshoot production issues and drive continuous improvements in ML operations.

Skills

AWS

MLOps

DevOps

Python

CI/CD

SageMaker

CloudWatch

Education

BSc/MSc in CS/Engineering

Tools

Terraform

CloudFormation

OpenSearch

Pinecone

Airflow

Prometheus

Grafana

ECR

SageMaker Endpoints

Job description

Keysight Technologies is expanding its engineering team with an MLOps Engineer specializing in AWS to deploy and scale ML solutions across our manufacturing analytics platforms.

You will collaborate with ML engineers to automate pipelines, monitor model performance, and manage infrastructure for production-ready ML workstreams on AWS.

This mid-level role emphasizes DevOps in ML contexts with reliability, security, and cost efficiency in regulated industrial environments.