Job Summary
We are seeking a highly skilled Healthcare Machine Learning Engineer to join our innovative team. This role involves developing, deploying, and optimizing machine learning models tailored for healthcare applications, leveraging big data and advanced analytics. The ideal candidate will have expertise in AI, natural language processing, and cloud-based platforms to improve healthcare outcomes through data-driven solutions. The position offers an exciting opportunity to work at the forefront of healthcare technology, utilizing cutting-edge tools and frameworks to transform patient care and operational efficiency.
Duties
- Design, develop, and implement machine learning models focused on healthcare data analytics and predictive modeling.
- Utilize frameworks such as TensorFlow, Spark, and Hadoop for large-scale data processing and model training.
- Conduct data mining and ETL processes to prepare complex datasets from various sources including linked data and databases.
- Deploy machine learning models into production environments using cloud services like AWS and containerization techniques.
- Collaborate with cross-functional teams to integrate AI solutions into existing healthcare systems and workflows.
- Perform natural language processing tasks on clinical notes, medical records, and other unstructured data sources.
- Optimize model performance through hyperparameter tuning, validation, and continuous monitoring.
- Develop scalable data pipelines using Talend, Bash (Unix shell), SQL, SAS, VBA, and other tools for efficient data handling.
- Design database schemas that support efficient storage and retrieval of healthcare-related information.
- Stay updated with advancements in quantum engineering, big data analytics, and emerging AI techniques relevant to healthcare.
Requirements
- Proven experience in machine learning model development with frameworks such as TensorFlow, R, SAS, or similar tools.
- Strong programming skills in Python, Java, C, Bash (Unix shell), VBA, and SQL for data manipulation and model deployment.
- Expertise in cloud computing platforms like AWS for scalable model training and deployment.
- Deep understanding of big data technologies including Hadoop, Spark, ETL processes, and database design principles.
- Knowledge of natural language processing (NLP) techniques applied to healthcare datasets.
- Experience with data mining, linked data integration, and analytics tools such as Looker for visualization.
- Familiarity with AI concepts including unsupervised learning, model training strategies, and AI ethics in healthcare applications.
- Ability to work with complex datasets involving medical records, clinical notes, or other unstructured health information.
- Strong analytical skills combined with a background in quantum engineering or related fields is a plus.
- Excellent problem-solving skills with the ability to communicate technical concepts effectively across teams. This position is integral to advancing healthcare through innovative machine learning solutions that improve patient outcomes and operational efficiencies within a dynamic environment committed to excellence in health technology innovation.
Job Type: Full-time
Pay: $152,000.00 - $180,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Education:
- Bachelor's (Required)
Experience:
- Healthcare: 3 years (Required)
- Hospital : 3 years (Required)
- Cerner: 3 years (Preferred)
- Machine Learning : 3 years (Required)
- AI: 3 years (Required)
- EHR systems: 3 years (Required)
- end-to-end ML lifecycle.: 3 years (Required)
- Terraform: 3 years (Required)
- CI/CD Tools: 3 years (Required)
Work Location: Remote