Sr Computer Vision Engineer Pytorch
2 months ago
Visionify is working on bringing the power ofComputer Vision and AI for everyday usecases. We are looking tohire a strong motivated and enthusiastic Sr. Computer VisionEngineer to execute our roadmap.
As a Sr.Computer Vision Engineer you will be working on the stateofthe artchallenges in the field of Computer Vision & solving them withnovel algorithms and optimizations. Majority of our work is focusedon applied Computer Vision so a good understanding of current stateof the art of models (Classification Object detection ObjectRecognition OCR LayoutML GAN etc networks). You will be working onPytorch as primary language so prior demonstrated knowledge ofPytorch is must for this position. Any experience with Azure AzureML Studio framework etc. would also be preferable.
Candidates are expected to stay current with thelatest features and contribute to the opensource Pytorch projectwith a focus on performance and accuracy improvements. You deeplyunderstand the PyTorch framework and underlying implementations tosolve customer challenges. and provide insights into how key issuesaffect the product. Many of our models get deployed to the edge soexperience in optimizing and pruning models converting models toNVIDIA TensorRT etc would be preferable.
Youmust possess excellent Python coding skills as Python is usedthroughout our organization to build training and inferencepipelines. Candidates should have excellent communication andpresentation skills. The ideal candidate will be passionate aboutartificial intelligence and stay uptodate with the latestdevelopments in thefield.
Responsibilities:
- Understandingbusiness objectives and developing Computer Vision based solutionsthat help achieve it. The software could involve training frameworkinference framework working with different technologies forML.
- You will build models and solutions withPytorch. You will optimize the Pytorch models for different runtimeenvironments including NVIDIA JetsonTensorRT.
- Guide thedevelopment team with their works unblock their questions helpaccelerate their deliverables.Developing ML/Computer Visionalgorithms that could be used to solve a givenproblem.
- Exploring and visualizing data to gainan understanding of it then identifying differences in datadistribution that could affect performance when deploying the modelin the real world
- Develop processes fordifferent common operations of the team: data acquisition modeltraining prototype development.
- Findingopensource datasets for prototypedevelopment.
- Develop pipelines for dataprocessing augmentation training inference and activeretraining.
- Training models and tuning theirhyperparameters
- Analyzing the errors of themodel and designing strategies to overcomethem
- Deploying models toproduction
Requirements:
- Bachelors/Mastersdegree in Computer Science/Computer Engineering/IT or relatedfields.
- 5 years of experience. Exceptionalcandidates with less experience are welcome toapply.
- Industry experience working in Image& Video Processing (OpenCV GStreamer Tensorflow PyTorchTensorRT Model Training/Inference Video Processing PipelinesDifferent GStreamer Convertors etc).
- Soundknowledge of various deep learning classification models includingResNet Inception VGG etc and object detection models includingMobileNetSSD Yolo FastRCNN MaskRCNN etc.
- Goodknowledge of Pytorch Torchvision writing training routines. Abilityto update models add/drop features visualize how the model isperforming etc.
- Experience in Colab and JupyterNotebook
- Familiarity withCUDA/GPU
- Knowledge of CNN visualizationtechniques such as CAM GradCAM etc.
- Strongunderstanding of Computer Vision and Realtime Video Processingtechniques.
- Strong experience with Python andwriting reusable code.
- Experience working withOpenCV and Scikit packages.
- Experience with theNVIDIA platform (NVIDIA DeepstreamTensorRT).
- Experience with Python web frameworke.g. Flask Django or FastAPI
- Experience withdifferent ML platforms: PyTorchTensorFlow.
- Proficiency with AWSSageMaker
- Experience with databases(Elasticsearch SQL NoSQL Hive…)
- Experience in a cloud environmentfor software development and deployment (AWSpreferred)
- Experience with utilising variousGPUbased training infrastructures.
- Experiencewith Docker
- Knowledge of DevOps and MLOps bestpractices for production Machine Learningsystems.
DesiredTraits:
- Thrive in a collaborativeenvironment.
- Flexible withchanging requirements.
- Come up with innovativesolutions.
- Keen focus on work quality &developing robust code.
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