AI/ML Job: Principal Full Stack Developer – Artificial Intelligence


Principal Full Stack Developer – Artificial Intelligence at TransformativeMed

Seattle, Washington, United States 🇺🇸   (Posted Aug 5 2018)
About the company
Founded in 2011, privately held TransformativeMed, Inc., headquartered in Seattle, Washington, is the world-wide leader in developing Cerner-integrated solutions that enable hospitals and health systems to modernize their Electronic Health Record (EHR) for future innovation. Used at more than 120 hospitals, the interface-free, CORE Value Suite solutions optimize clinician workflows and augment clinical intelligence to support complex disease management. Machine-learning and Artificial Intelligence are used to ensure that the EHR seamlessly serves patient-specific and specialty-specific care intelligence to care providers as they work, dramatically reducing repetitive data entry, to streamline workflows and decision support processes. Health systems realize more value by rapidly innovating their existing EHR without replacing it.

Job position

Job description
TransformativeMed is building a smart predictive solution for hospital based workflows. We are looking for highly driven Machine Learning Full Stack Engineers who can lead the development efforts for this solution. This position will have opportunities to collaborate with the development team in multiple areas, including: EHR (electronic health record) embedded web application development, mobile app development, reporting and data-driven solutions, machine learning, voice-enabled applications, etc.


Development of AI as a SaaS in cloud and managing infrastructure

Develop Machine Learning solutions by translating models into codes

Develop APIs for interfacing AI services

Optimize code and architecture design for required performance

Lead the development efforts for T4Med - Advanced Technologies solution by reviewing codes and technical requirements

Skills & requirements
Solid background in algorithms, data structures, and object-oriented programming

Basic Understanding of fundamentals of machine learning

Strong programming skills in at least one object oriented programming language (Java, Scala, Python)

Experience with API development, services, and databases

Experience with CI/CD (Continuous Integration and Continuous Deployment) development cycle

Experience with code reviews and code versioning systems (such as github, etc)

Eager to learn new algorithms, new application areas and new tools

Understanding of the AWS services (DynamoDB, EC2, EMR, Kinesis, Redshift, RDS, Kafka, SageMaker, S3, Lambda) (A plus)

Basic understanding of deep learning, predictive and inference models (A plus)

Experience with Microservices and serverless computing (A plus)

Experience with at least one of the modern distributed ML frameworks such as TensorFlow, PyTorch, MxNet (A plus)

Instructions how to apply
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