[Remote] Machine Learning Data Engineer - Obstetric Ultrasound at GE Healthcare

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Medical Technology, HealthcareIndustries

Requirements

Experience with MLOps practices, including ETL pipelines, Docker, Kubernetes, and version control systems (e.g., Git)
Experience with cloud platforms (e.g., AWS in particular, but GCP also relevant) and infrastructure-as-code tools
A background in ultrasound or other medical imaging modalities and related software tools such as DICOM, pydicom, opencv, or ITK
Experience with Python and the Python scientific stack (numpy, scipy, matplotlib, pandas, scikit-learn, scikit-image)
Experience with at least one major deep learning framework (Tensorflow, Keras, PyTorch, etc)
Experience with writing production code and code review process
2.1 or 1st degree in a technical discipline, or an

Responsibilities

Configure new projects on AWS, including creation of databases for both tabular and imaging data, with appropriate consideration for IAM across multiple teams
Coordinate transfer of large volumes of data from multiple sources into AWS
Design and implement data ETL / preprocessing pipelines to prepare data for efficient use in ML training pipelines
Manage and optimize the computational resources used by team members
Support management of data labeling platforms (e.g. V7, LabelBox) to streamline data annotation processes
Help to manage collaborations between geographically distributed teams within the platform, providing technical support as needed
Help streamline the process of dataset development, model training, and performance assessment, including model version control and tracking
Contribute to cost-effective use of cloud resources through oversight of compute usage and minimization of storage footprint
Collaborate with product, clinical, and regulatory teams on the clinical validation of AI software for marketing approval
Stay up-to-date with the latest advancements and tools available for use by the ML team

Skills

Machine Learning

Data Engineering

AWS

Cloud Computing

SQL

GitLab

Data Pipelines

Database Configuration

Compute Configuration

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees