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Full-Time

Machine Learning Solutions Engineer

Posted on 9/26/2023

Flywhee.io

Flywhee.io

51-200 employees

AI platform for medical imaging data aggregation

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Biotechnology
Healthcare

Junior

Remote in USA

Category
AI & Machine Learning
Software Engineering
Required Skills
Microsoft Azure
Python
Tensorflow
Keras
Pytorch
Docker
AWS
Google Cloud Platform
Requirements
  • 2+ years of software development experience with Python (required) and Docker
  • 2+ years of experience in machine learning, with a focus on medical imaging
  • 2+ years of experience with deep learning Python frameworks such as TensorFlow, PyTorch, Keras or MONAI
  • Experience deploying, monitoring, and maintaining models in production
  • Experience in data curation and leveraging open source datasets for developing models
  • Experience with MLops practices and platforms (e.g. VertexAI, SageMaker, Azure Machine Learning) or libraries (e.g. MLflow)
  • Proven expertise with at least one of the main cloud providers (e.g., AWS, Azure, GCP)
  • Experience in at least one of the following medical imaging modalities: MRI, CT, X-ray, PET, OCT, Digital Pathology
Responsibilities
  • Aid customers in creating machine learning models as well as curation and analysis pipelines to achieve their research project objectives
  • Promote "best practices" for model development and product usage through toolkit development, documentation, blog posts, and ad-hoc training
  • Develop methods for migrating historical data from file systems, open source datasets, and other scientific data management systems
  • Serve as advisor to the product management team for overall ML product experience
  • Read customer-written code and applications, translate and integrate into Flywheel's platform
  • Work independently with a remote team

Flywheel provides a comprehensive AI development platform specifically tailored for medical imaging, supporting life sciences, clinical, and academic research sectors. The platform's capability to streamline complex data processes and support secure collaborations positions it as a leader in advancing medical imaging technology. This not only enhances biomarker discovery but also improves patient outcomes, making it an excellent workplace for professionals passionate about leveraging technology for impactful healthcare solutions.

Company Stage

Series D

Total Funding

$102.4M

Headquarters

Minneapolis, Minnesota

Founded

2015

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

1%

2 year growth

33%
INACTIVE