Senior Deep Learning Engineer

7 hours ago


Lahore, Punjab, Pakistan beBeeMachine Full time $150,000 - $250,000

Job Title: Deep Learning Architect

Description:

We are seeking a highly skilled deep learning architect to join our team. The ideal candidate will have hands-on experience with designing and training large-scale neural networks, as well as deploying them in cloud-based environments.

Responsibilities:

  • Design and develop cutting-edge deep learning models for various applications, including natural language processing, computer vision, and predictive analytics.
  • Collaborate with cross-functional teams to integrate machine learning solutions into our products and services.
  • Develop and maintain high-quality, efficient, and scalable software code using Python and popular deep learning frameworks such as PyTorch and TensorFlow.
  • Stay up-to-date with the latest advancements in deep learning research and apply this knowledge to improve our existing models and develop new ones.
  • Work closely with data scientists to design and implement data preprocessing pipelines that ensure high-quality input data for our models.
  • Develop and maintain comprehensive documentation of our deep learning models, including architecture diagrams, implementation details, and performance metrics.

Requirements:

Core Skills:

  • Deep learning fundamentals, including supervised and unsupervised learning, convolutional neural networks, recurrent neural networks, and transfer learning.
  • Experience with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras.
  • Strong programming skills in Python, with expertise in libraries such as NumPy, pandas, and scikit-learn.
  • Familiarity with cloud-based platforms such as AWS, GCP, or Azure.
  • Excellent problem-solving skills, with the ability to debug complex issues and optimize model performance.
  • Strong communication skills, with the ability to effectively collaborate with cross-functional teams and present technical ideas to non-technical stakeholders.

PREFERRED QUALIFICATIONS:

Degree in Computer Science or related field

4+ years of experience in deep learning development

Hands-on experience with containerization tools like Docker and Kubernetes

Familiarity with agile development methodologies

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