Senior Software Engineer - Aws Cloud Architect + Ai (mlops)

Analog Devices Foundation

Limerick, Ireland
On-site
Aws cloud architecture
Mlops
Kubernetes cluster management
Analog Devices is seeking a Senior Software Engineer specializing in AWS Cloud Architecture and AI (MLOps) to join their global XOps team in Limerick, Ireland. The ideal candidate will possess extensive experience in machine learning operations and cloud infrastructure, contributing to the development of scalable ML/AI solutions within a collaborative and high-performance environment

Job Summary

  • You will join a high-performance, mission-driven interdisciplinary team that spans data science, software engineering, product management, cloud architecture, and security expertise.
  • As a Senior MLOps Engineer (individual contributor), you will bring deep technical expertise, the ability to handle complex assignments end-to-end, and make decisions with broad impact beyond individual tasks.
  • We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people.

Matching Summary

Match Score: 85

Analog Devices is seeking a Senior Software Engineer specializing in AWS Cloud Architecture and AI (MLOps) to join their global XOps team in Limerick, Ireland. The ideal candidate will possess extensive experience in machine learning operations and cloud infrastructure, contributing to the development of scalable ML/AI solutions within a collaborative and high-performance environment.

Skills & Requirements

Must-have

  • AWS Cloud Architecture
  • MLOps
  • Kubernetes cluster management
  • IaC/GitOps automation
  • Data Science Life Cycle (DSLC)
  • Foundation models (LLMs)

Nice-to-have

  • Robotics environments
  • ROS (Robot Operating System)
  • Industrial automation ML
  • Vision-Language Models (VLMs)

Key Requirements

  • Deep understanding of the Data Science Life Cycle (DSLC)
  • Expertise in feature stores, model registries, and model governance
  • Experience with ML observability tools
  • Advanced proficiency in IaC/GitOps
  • Hands-on experience managing Kubernetes clusters
  • Strong AWS DevOps experience
  • Experience leading large-scale, complex features

Work Rights

Not specified

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