Principal ML Platform Engineer – Remote

PointClickCare; España; Remote; EUR 175,000 - 194,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Job summary

PointClickCare is seeking a Principal AI Machine Learning Platform Engineer to set the technical vision for the ML platform that powers ML and generative AI development across the company. You will define architectures, standards, and roadmaps for training, deployment, serving, and monitoring, while mentoring engineers to raise the bar for ML systems company-wide.

You will partner with Product and Engineering leadership to align direction with business goals and drive secure, scalable,

Qualifications

• Expert-level Python and Java development with strong software fundamentals.
• Experience building ML platforms and MLOps workflows at scale; familiarity with MLFlow, Kubeflow, Ray, and model-serving frameworks.
• Extensive cloud experience (AWS/Azure/GCP), containers and orchestration (Docker, Kubernetes).
• Proven track record of setting technical direction across multiple teams.

Responsibilities

• Translate business goals into a multi-quarter technical roadmap for the ML platform.
• Define reference architectures and standards for scalable ML pipelines and serving infrastructure.
• Lead build-vs-buy decisions for core platform components and drive ML security, reliability, and observability practices.
• Mentor engineers and influence the org-wide ML infrastructure roadmap.

Skills

Python

Java

MLOps

Education

Bachelor's degree in Computer Science or related field

Tools

MLFlow

Kubeflow

Ray

Model-serving frameworks

AWS

Azure

GCP

Job description

PointClickCare is seeking a Principal AI Machine Learning Platform Engineer to set the technical vision for the ML platform that powers ML and generative AI development across the company. You will define architectures, standards, and roadmaps for training, deployment, serving, and monitoring, while mentoring engineers to raise the bar for ML systems company-wide.

You will partner with Product and Engineering leadership to align direction with business goals and drive secure, scalable,