Ml Engineer

Solventum

Dublin, Ireland
**
Mlops and deployment
Data engineering and integration
Python programming
** Solventum is seeking an ML Engineer to build and maintain AI pipelines for healthcare applications in Dublin, Ireland. The role focuses on MLOps, data reliability, and production stability, requiring strong programming skills and experience in cloud environments. **

Job Summary

  • As an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS).
  • You will help bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring our AI services are secure and scalable.
  • We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy.

Matching Summary

Match Score: 75

** Solventum is seeking an ML Engineer to build and maintain AI pipelines for healthcare applications in Dublin, Ireland. The role focuses on MLOps, data reliability, and production stability, requiring strong programming skills and experience in cloud environments. **

Skills & Requirements

Must-have

  • MLOps and Deployment
  • Data Engineering and Integration
  • Python programming
  • Cloud and Infrastructure
  • ML libraries and MLOps tools
  • Data processing frameworks
  • HIPAA and HITRUST security standards

Nice-to-have

  • Deploying Large Language Models
  • Frameworks like LangChain
  • Regulated environment experience
  • API design and microservices architecture
  • Go or Java programming

Key Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
  • 3-5 years of professional experience in software engineering or data engineering
  • At least 2 years focused on machine learning production environments
  • Strong proficiency in Python and familiarity with SQL
  • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and containerization (Docker)
  • Familiarity with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow)
  • Experience with data processing frameworks (like Pandas, Spark, or dbt)

Work Rights

Must be legally authorized to work in country of employment without sponsorship for employment visa status

Tailored Resume

Cover Letter