New Ulm , Minnesota
|Remote
|Contract
New Ulm, Minnesota
|Remote
|Contract
Join our dynamic team as a Data Scientist, where you'll have the opportunity to work remotely on cutting-edge projects in medical document analysis. Utilize your expertise in deep learning models to make a significant impact in the healthcare sector.
Responsibilities
- Develop and enhance deep learning models for medical document analysis.
- Train, evaluate, and troubleshoot models while handling extensive text datasets.
- Conduct experiments in an AWS environment to ensure model quality and deliverables.
- Collaborate with the technical lead to align project objectives and document results.
Skills
- Proficiency in Python, with a focus on frameworks like PyTorch and Transformers.
- Experience in training and debugging deep learning models for text analysis.
- Strong understanding of statistics, exploratory data analysis, and machine learning concepts.
- Ability to work within AWS and utilize GitHub for version control.
Preferred Skills
- Familiarity with large language models and prompt-based methods.
- Experience with PySpark or large-scale ETL processes for textual data.
- Knowledge of MLOps tools and experiment tracking methodologies.
- Background in healthcare or medical text analysis is a plus.
We are committed to fostering a diverse and inclusive workplace where all individuals are respected and valued. We encourage applicants from all backgrounds to apply and join us in creating innovative solutions.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.Horizontal is committed to taking affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or participate in the interview process, click here to request accommodation assistance.
All applicants applying must be legally authorized to work in the country of employment.