If you are a Senior Data Scientist with experience in Computer Vision and Machine Learning, please read on!
Located in New Jersey, we are a fully funded AI start up that specilaizes in insurance claims image analytics. Our AI image work is state of the art and we are able to offer an incredible amoutn of speed in which claims can be addressed.
We will provide you with a great opportunity to learn and work in on the of the most innovative tech startup companies, all while being part of a highly motivated and supportive team that is helping companies interact with! You will be responsible for building on cutting edge technologies from the ground up (machine learning, AI-powered predictive routing), helping to continue to modernize our product offerings, and challenging the status quo and transform the live event industry.
**This position is open to being remote for the right candidate!**
What You Will Be Doing
- Partnering with team members to design, document, and implement large-scale distributed streams and batch processing of petabytes of data using Go
- Contributing to the development of our data processing pipeline in all aspects such as availability, latency, performance, efficiency, change management, metrics, and future directions in its design
- Working collaboratively in team environment
What You Need for this Position
At least 5 years of experience with:
- Machine Learning
- Deep Machine Learning
- Convolution Neural Network
- Image Analytics
- Computer Vision
- Big Data Analytics
- Microservices
- Python
- Tensor Flow
- Kera
What's In It for You
Salary of 130K to 160K with:
- Health/ Vision/ Dental/ LIfe Insurance
- Fully supportive environment
- PTO
- Flexible Hours
- Continuous Learning Program
So, if you are a Senior Data Scientist with experience Computer Vision and Machine Learning , please apply today!
Colorado employees will receive paid sick leave. For additional information about available benefits, please contact Lexie Urratio
This job is open to telecommute candidates.
Applicants must be authorized to work in the U.S.