ML Ops Platform Engineer — Cloud & Scale

GAL Medtronic Vascular Galway Unlimited Company

Athenry-Oranmore Municipal District

On-site

EUR 84,000 - 125,000

Full time

7 days ago
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Job summary

Medtronic PCS seeks a Principal Platform Engineer – ML/Ops to lead the design and evolution of scalable platform services and MLOps capabilities. You will guide architecture, collaborate with global teams, and drive secure, reliable deployments for implantable cardiac devices.

The role requires senior-level expertise in ML workflows, cloud platforms, and distributed systems, with strong Python production experience and leadership skills.

Qualifications

  • 7+ years of relevant experience in software/engineering.
  • Mastery of MLOps, cloud platforms, or distributed systems with broad industry practices.
  • Strong knowledge of ML lifecycle, model deployment, monitoring, and reproducibility.

Responsibilities

  • Define technical direction for shared platform and MLOps capabilities to improve delivery and lifecycle.
  • Lead major technical initiatives and coordinate cross-team dependencies.
  • Investigate and solve moderately complex technical problems across systems and teams.
  • Develop improvements to platforms, processes, and engineering practices for scalability and security.
  • Design reusable platform services, APIs, CI/CD, and self-service workflows.

Skills

MLOps
Cloud platform engineering
Distributed systems
Software engineering
Python production
Communication

Education

Bachelor's degree in CS/Software/Engineering
Master's degree in a related field

Tools

PyTorch
TensorFlow
Kubernetes
Docker
Terraform
CI/CD

Job description

Medtronic PCS seeks a Principal Platform Engineer – ML/Ops to lead the design and evolution of scalable platform services and MLOps capabilities. You will guide architecture, collaborate with global teams, and drive secure, reliable deployments for implantable cardiac devices.

The role requires senior-level expertise in ML workflows, cloud platforms, and distributed systems, with strong Python production experience and leadership skills.

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