Senior AI/ML Engineer - Vision, Production & MLOps

Medtronic; Galway; Hybrid; EUR 84,000 - 125,000; Full time

Benefits offered by this job

Hybrid work model

Annual bonus program

Pension contribution

Family healthcare coverage

Continuous professional development

Job summary

Medtronic in Ireland (Galway) is seeking an experienced engineer to lead computer vision and machine learning development, deployment, and production readiness. You will design scalable ML pipelines, drive CI/CD for ML models, and collaborate with cross-functional teams to deliver AI-enabled healthcare solutions.

The role emphasizes technical leadership, software quality, and delivering production-grade Python systems within a hybrid work environment.

Qualifications

• Bachelor's degree in a technical field with 7+ years of experience, or Master’s 5+ years, or PhD 3+ years in software/ML.
• Minimum 7 years of experience deploying ML models in production.
• Strong proficiency in Python and scalable software development practices.
• Experience building ML pipelines and cloud-based ML deployment workflows, CI/CD and lifecycle management.

Responsibilities

• Develop, evaluate, and deploy computer vision and ML models to solve complex problems.
• Build end-to-end ML pipelines for data ingestion, training, validation, and deployment.
• Lead software engineering for Python-based ML systems and drive best practices.
• Work with cloud infrastructure to support ML training and deployment, with monitoring and observability.
• Collaborate with data engineers, software engineers, and domain experts to shape AI platforms.

Skills

Python

Machine learning

Data science

Statistical methods

Model evaluation

Cloud-based ML

CI/CD

Education

Bachelor's degree in a technical field

7+ years ML in production

Master's degree (preferred)

Tools

Docker

Kubernetes

Job description

Medtronic in Ireland (Galway) is seeking an experienced engineer to lead computer vision and machine learning development, deployment, and production readiness. You will design scalable ML pipelines, drive CI/CD for ML models, and collaborate with cross-functional teams to deliver AI-enabled healthcare solutions.

The role emphasizes technical leadership, software quality, and delivering production-grade Python systems within a hybrid work environment.