Computer Vision Scientist/Deep Learning

Computer Vision Scientist, Deep Learning, Python, R, SparkR, Scala, PySpark, Spark, Data Scientist, Research Scientist, Machine Learning Scientist, TensorFlow, Keras
Contract W2, Contract Independent, 24 Months
Depends on Experience

Job Description

Additional Job Information: Title: Computer Vision Scientist/Deep Learning
Location: Atlanta, GA United States

 

Job Description:

Deep Learning/Computer Vision Scientist

 

Who we are and what we do:

 

  • The AI and Data Science team is centralized across the entire organization.
  • We work with various product teams across various business units to define high-impact business problems, solve them using novel techniques, and execute and monitor them throughout their lifecycle.
  • Most of our models make it to production, they never sit in a research lab. But we also do quite a bit of research to stay up-to-date with the latest technologies/algorithms.
  • We are very collaborative, you will likely get lots of ideas from the team.

 

What kind of problems do we solve:

 

  • There are high-frame cameras beside our tracks, capturing images of trains and rail cars as they pass. We design various Deep Learning and Computer Vision algorithms to detect certain objects of interest or issues and defects. We then optimize their performance and deploy them at the edge for real-time scoring and notification of our mechanical personnel upon detections.
  • We have massive amounts of LiDAR data collected from our network. We design Deep Learning algorithms to find features of interest and to track their changes over time.
  • Want to learn more? Apply today!

 

What tools do we use:

 

  • We use Python, R, and Spark (PySpark, SparkR, Scala) for modeling and EDA.
    • You will have a local machine with 512GB of memory, so feel free to load the data in memory if it makes sense or if it fits (!)
  • You will also have terabytes of memory in our Spark cluster that is not shared by anyone.
  • We use Jupyter notebook, Emacs, PyCharm, Rstudio as IDEs.
  • We use Tensorflow, Keras, PyTorch, and MXNet for Deep Learning, and OpenCV for traditional Computer Vision.
    • You will have your own dedicated GPU (!) in addition to a GPU cluster to run parallel training and inference jobs.
  • We always have the latest versions of our tools/packages/libraries available.

 

What are our requirements:

  • Bachelor’s, Master’s or Ph.D. in Computer Science, Electrical Engineering, Machine Learning, Statistics or related field
  • Minimum of 1-3 years of relevant industry experience (as a Computer Vision Scientist, Data Scientist, Research Scientist, Machine Learning Scientist, etc.), 3+ preferred; or proven qualifications.
  • Excellent knowledge of Python and industry experience with TensorFlow, Keras and/or PyTorch
  • Industry experience with image processing using Deep Learning (semantic segmentation, object detection, classification)
  • Familiarity with various CNN architectures (VGG16, ResNet, MobileNet, etc)
  • Experience with traditional image processing techniques (e.g. use of OpenCV, skimage)
  • Experience with deployment to the edge devices (jetson nano or similar technologies) is a plus

 

What will be your duties:

 

  • Design, develop, and implement novel computer vision algorithms for unique use cases.
  • Design and build novel/custom CNN architectures.
  • Evaluate accuracy and quality of the designed models as well as data sources.
  • Stay up to date with the latest models and changes in the technology.
  • Design and develop production ready code.
  • Communicate results and implications to colleagues and business partners.
  • Coordinate with application development teams to integrate developed models with existing applications

 

Best Regards, 

Sethu Mathan, MBA 

Senior Manager, IT Strategic Solution 

 

Services You Can Trust

M:  

E: www.aaaglobaltech.com 

7000 Peachtree Dunwoody Rd | Bldg. 11, Suite 301 

Atlanta, GA – 30328 

Dice Id : 90773857
Position Id : 7523693
Originally Posted : 2 weeks ago
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