Senior Computer Vision Engineer

4 weeks ago

Hyderabad, Telangana, India visionify Full time
Computer Vision Engineer Job Description

Visionify is a cutting-edge technology company that specializes in bringing the power of Computer Vision and AI to everyday use cases. We are seeking a highly motivated and enthusiastic Senior Computer Vision Engineer to join our team and help execute our roadmap.

As a Senior Computer Vision Engineer, you will be working on state-of-the-art challenges in the field of Computer Vision and solving them with novel algorithms and optimizations. Our work is focused on applied Computer Vision, so a good understanding of current state-of-the-art models, including classification, object detection, object recognition, OCR, layout ML, and GAN networks, is essential. You will be working with PyTorch as the primary language, so prior demonstrated knowledge of PyTorch is a must for this position. Experience with Azure, Azure ML Studio, and other frameworks is also desirable.

Candidates are expected to stay current with the latest features and contribute to the open-source PyTorch project with a focus on performance and accuracy improvements. You will deeply understand the PyTorch framework and underlying implementations to solve customer challenges and provide insights into how key issues affect the product. Many of our models get deployed to the edge, so experience in optimizing and pruning models, converting models to NVIDIA TensorRT, and other related tasks is preferable.

You must possess excellent Python coding skills, as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Responsibilities:
  • Understanding business objectives and developing Computer Vision-based solutions that help achieve them. The software could involve training frameworks, inference frameworks, working with different technologies for ML.
  • You will build models and solutions with PyTorch. You will optimize the PyTorch models for different runtime environments, including NVIDIA Jetson and TensorRT.
  • Guide the development team with their work, unblock their questions, help accelerate their deliverables. Developing ML/Computer Vision algorithms that could be used to solve a given problem.
  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Develop processes for different common operations of the team: data acquisition, model training, prototype development.
  • Finding open-source datasets for prototype development.
  • Develop pipelines for data processing, augmentation, training, inference, and active training.
  • Training models and tuning their hyperparameters.
  • Analyzing the errors of the model and designing strategies to overcome them.
  • Deploying models to production.
Requirements:
  • Bachelor's/Master's degree in Computer Science/Computer Engineering/IT or related fields.
  • 5 years of experience. Exceptional candidates with less experience are welcome to apply.
  • Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors, etc.).
  • Sound knowledge of various deep learning classification models, including ResNet, Inception, VGG, etc., and object detection models, including MobileNet, SSD, Yolo, FastRCNN, MaskRCNN, etc.
  • Good knowledge of PyTorch, Torchvision, writing training routines, ability to update models, add/drop features, visualize how the model is performing, etc.
  • Experience in Colab and Jupyter Notebook.
  • Familiarity with CUDA/GPU.
  • Knowledge of CNN visualization techniques, such as CAM, GradCAM, etc.
  • Strong understanding of Computer Vision and Realtime Video Processing techniques.
  • Strong experience with Python and writing reusable code.
  • Experience working with OpenCV and Scikit packages.
  • Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT).
  • Experience with Python web frameworks, e.g., Flask, Django, or FastAPI.
  • Experience with different ML platforms: PyTorch, TensorFlow.
  • Proficiency with AWS SageMaker.
  • Experience with databases (Elasticsearch, SQL, NoSQL, Hive, etc.).
  • Experience in a cloud environment for software development and deployment (AWS preferred).
  • Experience with utilizing various GPU-based training infrastructures.
  • Experience with Docker.
  • Knowledge of DevOps and MLOps best practices for production Machine Learning systems.
Desired Traits:
  • Thrive in a collaborative environment.
  • Flexible with changing requirements.
  • Come up with innovative solutions.
  • Keen focus on work quality & developing robust code.

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