AI Engineer

Roles and Responsibilities

  • Research and develop algorithms for computer vision/DL/ML/NLP application based on current literature using DNN frameworks etc
  • Hands-on with Designing, developing, deploying, and maintaining Deep Learning (DL), Machine Learning (ML) systems, and services in production at scale.
  • Design and develop web-based applications for DL and ML modules
  • Testing and fine-tuning to meet functional and non-functional requirements

Required Skills (Technical Competency)

  • Knowledge of image processing algorithms.
  • Proven experience implementing DL/ML applications
  • Strong knowledge of data model, curation, processing, and pipelining for use in continuous ML/DL solution development.
  • Hands-on experience with DL frameworks like Keras, Tensorflow, Caffe2, Pytorch, etc.
  • Script solutions to automate processes for ML/DL model deployments, retraining, testing etc.
  • Experience in OpenCV, NumPy, scikit-image, etc
  • Knowledge of web application development.
  • Strong knowledge in Python and C .
  • Critical thinking and proactive problem-solving abilities

Experience:

  • 2 to 3 years experience in Image Processing, Machine Learning, Deep Learning, NLP, etc
  • Must have experience in Python with the knowledge to create RESTful services using Django, Flask
  • Strong knowledge of linear algebra, probability, and statistics is an added advantage
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