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  • Senior Deep Learning Engineer

    Senior Deep Learning Engineer

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      English

      advanced

      Deep Learning

      advanced

      Machine Learning

      regular

      PyTorch

      regular

      AI

      regular

      NumPy

      regular

      TensorFlow

      regular

      Pandas

      regular

      Cloud Platforms

      regular

    Job description

    Online interview

    Tasks: 


    • Design, implement, and optimize advanced deep learning algorithms and models for a variety of applications (e.g., computer vision, NLP, autonomous systems)
    • Conduct research on state-of-the-art deep learning techniques, evaluate new architectures, and incorporate cutting-edge methods into projects
    • Train large-scale models on distributed systems, optimize performance, and ensure models are scalable, efficient, and accurate. 
    • Oversee data collection, preprocessing, and augmentation processes, ensuring that high-quality, labeled datasets are used for model training
    • Collaborate with cross-functional teams, including data scientists, engineers, and product teams. Mentor junior engineers and provide guidance on best practices 
    • Implement and deploy deep learning models into production environments, ensuring they are integrated with other systems and deliver real-time results
    • Monitor deployed models, analyze performance metrics, and refine models based on feedback, ensuring continuous improvement in accuracy and efficiency 


    Requirements: 


    • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field
    • Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and a strong understanding of neural networks and architectures
    • Proficiency in Python and experience with relevant libraries (e.g., NumPy, Pandas, OpenCV, SciPy) for deep learning and data manipulation
    • Strong background in machine learning concepts, including supervised and unsupervised learning, model evaluation, and optimization techniques
    • Experience working with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing frameworks (e.g., TensorFlow, Horovod) for large-scale training
    • Ability to analyze complex data, conduct original research, and stay updated on the latest trends in deep learning and AI
    • Strong teamwork, communication, and presentation skills, with the ability to explain complex deep learning concepts to non-technical stakeholders


    Offer: 


    • 100% remote work 
    • MultiSport Plus 
    • Group insurance 
    • Medicover Premium 
    • e-learning platform 

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