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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.
संयुक्त राज्य
पेंसिल्वेनिया$1,24,000 – $1,70,500 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीमशीन लर्निंग इंजीनियरविवरण
- 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.
आवश्यकताएँ
- 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.
लाभ
- 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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