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Solventum
Solventum
KonsultavimasLogistikaSveikatos priežiūra
„Solventum“ kuria sveikatos priežiūros technologijas ir paslaugas, skirtas saugesnei ir efektyvesnei medicininei priežiūrai bei burnos sveikatai. Įmonės asortimentą sudaro pažangios žaizdų priežiūros, chirurgijos ir sterilizacijos sprendimai, burnos priežiūros produktai, sveikatos informacijos ir technologijų paslaugos, taip pat biotechnologijų farmacijos reikmėms skirtos valymo ir filtravimo sistemos. Įmonė taip pat padeda sveikatos priežiūros specialistams, teikdama mokomąją ir kvalifikacijos tobulinimo medžiagą, o produktų kūrimą grindžia dėmesiu pacientų saugai, klinikiniams rezultatams ir veiklos efektyvumui.
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Machine Learning Engineer - Solventum - Pennsylvania Remote

Build production machine learning infrastructure and AI services for Solventum’s healthcare information systems. The role covers MLOps, healthcare data engineering, cloud deployment, monitoring, and compliance.

USJungtinės ValstijosPAPensilvanija
124 000 $ – 170 500 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųMašininio mokymosi inžinierius
AirflowAWSDockerETLJavaKubernetesMikropaslaugosPandasPythonPyTorchScikit-LearnSparkSQL

Aprašymas

  • Create and maintain machine learning delivery pipelines, deploy and monitor production models, transform healthcare data, support feature stores, integrate AI into healthcare applications, and maintain secure, documented systems.
  • Deploy machine learning models as scalable APIs and microservices that satisfy clinical performance and latency needs.
  • Monitor model quality, data drift, and the health of production services.
  • Build and improve ETL workflows that convert FHIR, HL7, and other healthcare data into training and inference datasets.
  • Help maintain feature stores and data layers that keep training and production data aligned.
  • Work with backend engineers to integrate machine learning results into core healthcare products.
  • Produce clear, maintainable, and well-documented Python code.
  • Contribute to peer code reviews.
  • Package and orchestrate machine learning workloads with Docker and Kubernetes.
  • Apply HIPAA and HITRUST requirements to data processing and deployments.
  • Travel domestically up to 10%.
  • Complete required on-site onboarding during the first days of employment.

Reikalavimai

  • Bachelor’s degree or higher in computer science, software engineering, data engineering, or a related discipline.
  • At least six years of professional software engineering or data engineering experience.
  • At least five years of Python experience, along with familiarity with SQL.
  • At least two years working with machine learning systems in production.
  • At least five years using AWS and container technologies such as Docker.
  • At least three years of professional Java experience.
  • At least three years using machine learning libraries such as PyTorch or Scikit-learn and MLOps tools such as Airflow, Prefect, BentoML, or Kubeflow.
  • At least four years using data processing frameworks such as Pandas, Spark, or dbt.
  • Familiarity with deploying large language models or working with frameworks such as LangChain.
  • Experience in a regulated industry, including healthcare or finance.
  • Knowledge of API design and microservices architecture.
  • Work must follow corporate policies, procedures, security standards, and documented resume or application requirements.
  • Education and work history must be supplied through a resume or application fields.

Privalumai

  • Medical, dental, and vision coverage.
  • Health savings account options.
  • Health care and dependent care flexible spending accounts.
  • Disability benefits.
  • Life insurance.
  • Voluntary benefit programs.
  • Paid absences.
  • Retirement benefits.
  • Company-paid travel and related expenses for required on-site onboarding.
  • Domestic travel of up to 10% may be required.

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