Machine Learning Engineer

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $106k - $145.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Build and maintain CI/CD pipelines for machine learning, including automated testing, model deployment, and version control • Deploy ML models as scalable APIs and microservices meeting clinical performance and latency requirements • Implement monitoring for model performance, data drift, and system health in production • Develop and optimize ETL processes transforming healthcare data, including FHIR and HL7, for model training and inference • Help build and maintain feature stores and data layers for consistency between training and production • Integrate ML outputs into core healthcare applications with backend teams • Write clean, maintainable, and documented Python code • Participate in code reviews • Use Docker and Kubernetes to package and orchestrate ML workloads • Follow protocols for HIPAA and HITRUST-compliant data handling and deployments • Travel up to 10% domestically as needed • Attend company on-site onboarding during the initial days of employment

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Engineering • 4 years of professional experience in software engineering or data engineering, with at least 2 years focused on machine learning production environments • 2 years of experience with Python and SQL • Knowledge of a compiled language such as Go or Java • 2 years of hands-on experience with at least one major cloud provider: AWS, Azure, or GCP • 2 years of hands-on experience with containerization using Docker • 2 years of experience with ML libraries such as PyTorch or Scikit-learn • 2 years of experience with MLOps tools such as Airflow, Prefect, BentoML, or Kubeflow • 2 years of experience with data processing frameworks such as Pandas, Spark, or dbt • Must be legally authorized to work in the country of employment without sponsorship for employment visa status

🏖️ Benefits

• Medical, Dental & Vision • Health Savings Accounts • Health Care & Dependent Care Flexible Spending Accounts • Disability Benefits • Life Insurance • Voluntary Benefits • Paid Absences • Retirement Benefits • Company-paid travel arrangements and related expenses for on-site onboarding