Position: Entry level

Job type: Full-time

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Job content

Job DescriptionWe are seeking a talented and passionate Deep Learning Engineer to join our team. As a Deep Learning Engineer, you will play a crucial role in developing and implementing cutting-edge deep learning models and algorithms for various applications. You will work closely with our research and development team to create innovative solutions using state-of-the-art deep learning frameworks.Responsibilities
  • Develop and implement deep learning models and algorithms for image analysis and text processing tasks.
  • Utilize frameworks such as Keras, PyTorch, and TensorFlow to build, train, and deploy deep learning models.
  • Collaborate with cross-functional teams to understand project requirements and translate them into technical specifications.
  • Conduct literature reviews and stay up-to-date with the latest advancements in deep learning techniques and methodologies.
  • Clean, preprocess, and augment datasets to ensure high-quality training data.
  • Train, fine-tune, and evaluate deep learning models using large-scale datasets.
  • Optimize and improve the performance of deep learning models through techniques such as hyperparameter tuning and model compression.
  • Deploy deep learning models into production environments and ensure scalability and efficiency.
  • Collaborate with software engineers to integrate deep learning models into existing systems and platforms.
  • Document research findings, methodologies, and experiment results in technical reports and presentations.
  • Stay up-to-date with emerging trends and technologies in deep learning and related fields.
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • 2-3 years of practical experience in deep learning and machine learning.
  • Strong proficiency in deep learning frameworks such as Keras, PyTorch, and TensorFlow.
  • Proficiency in version control systems, particularly Git.
  • Experience with computer vision libraries such as OpenCV (cv2).
  • Knowledge of natural language processing (NLP) techniques and libraries such as spaCy, transformers, and Hugging Face.
  • Strong programming skills in Python and familiarity with relevant libraries and packages.
  • Solid understanding of neural network architectures, optimization techniques, and evaluation metrics.
  • Experience with text extraction from images using deep learning models is highly desirable.
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication and teamwork abilities.
  • Ability to work in a fast-paced and dynamic environment.
(ref:hirist.com)
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Deadline: 01-07-2024

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