Deep Learning/Computer vision Scientist

Deep Learning/Computer vision Scientist

About the job

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amtex System Inc., is seeking the following. Apply via Dice today!

About us Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for the last 20 years. Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest. About the position Job Title Deep LearningComputer Vision Scientist Location Atlanta GA Duration Long Term Contract Open to work onsite once COVID settles. 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 technologiesalgorithms. 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 toolspackageslibraries 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 andor 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 novelcustom 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. Feel free to reach out to me directly on the below number Renu Sharma mailto

 

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