Senior Data Scientist - Computer Vision and MLOps
Toronto, ON (Remote)
Zesty.ai
ZestyAI uses artificial intelligence to account for all factors that may impact a property's value and its risk exposure to natural disasters.Senior Data Scientist - Computer Vision and MLOps
Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats.
Zesty.ai uses novel data gathering and data science methods to produce higher quality information about the risks to property from catastrophes like floods and wildfires. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes.
As a Senior Data Scientist - Computer Vision and MLOps, you are comfortable and excited to work closely with the Data Science and Machine Learning team to build the best AI tech possible. You will scale the development of top-tier models by using diverse data sources to provide strong insights and maximize the impact of our company efforts. You thrive in a collaborative, creative environment that moves fast and you’re comfortable setting in place structures and processes to help the company scale.
The Opportunity:
- We’re looking for a Senior Data Scientist that would be excited to work on computer vision projects for the first 3 to 6 months in order to get a good sense of our systems and then transition into an MLOPs role (we feel that this would be the best way for you to be familiar with our problem set and systems).
- In the initial 3 to 6 months, you’ll develop and improve on our computer vision property insights models using the latest techniques in deep learning.
- Following the initial rotation with the deep learning team, you’ll transition into an Ops role where you’ll work on improving our tooling, processes and systems to help enable our team to perform at its best.
- Translate product management, engineering, and business constraints and queries into tractable data science questions.
What You Bring to the Zesty.ai Team:
- Experience working with deep learning / neural network models (using PyTorch, TensorFlow, Keras, Caffe)
- Experience working with computer vision and building and testing computer vision systems
- Experience deploying machine learning models in production environments
- BA / BS / BEng degree in Math, Physics, Computer Science, Engineering, or Economics. MS degree or Ph.D. is certainly a bonus
- Strong organizational and management skills with past experiences implementing best practices and processes
- Experience working with large image datasets (great if you’ve already worked with satellite imagery and related tools OpenCV, Pillow, etc.)
- Proficient in SQL, BigQuery
- Experience working with cloud platforms (AWS, Google Cloud, etc)
- Kubernetes, docker experience
- Must be legally eligible to work in Canada
Why ZestyAI:
- Be part of a well-funded growth-stage start-up
- Market competitive comp and equity incentives to give you a stake in our future
- Comprehensive health care plan
- Flexible Time Off
- An upbeat and collaborative work culture
- Company-sponsored outings and offsites
All of your personal information will be kept confidential according to EEO guidlines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS BigQuery Caffe Computer Science Computer Vision Deep Learning Docker Economics Engineering GCP Google Cloud Keras Kubernetes Machine Learning Mathematics ML models MLOps OpenCV Physics PyTorch SQL TensorFlow Testing
Perks/benefits: Career development Flex hours Flex vacation Salary bonus Startup environment Team events
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