Deep Learning Engineer

Job Summary:

Deep Learning Engineer

Key Responsibilities:

• Design, build, train, and deploy

  deep learning models

  for tasks such as computer vision, NLP, speech recognition, or generative AI.
• Research and experiment with

  neural network architectures

  , including CNNs, RNNs, Transformers, GANs, and LLMs.
• Collaborate with cross-functional teams to define model requirements and integrate AI solutions into production systems.
  
• Preprocess and manage large-scale datasets for model training and evaluation.
  
• Implement

  model optimization

  , pruning, and quantization techniques to improve performance and efficiency.
• Monitor model performance, perform hyperparameter tuning, and document experimental results.
  
• Stay updated with the latest research papers and advancements in deep learning and apply innovative techniques to ongoing projects.

Preferred Qualifications (Nice to Have):

• Experience with

  transformer architectures, LLMs, or diffusion models

  .
• Familiarity with

  MLOps

  tools for model deployment and monitoring.
• Experience in

  cloud-based AI development

  (AWS Sagemaker, Google Vertex AI, Azure ML).
• Background in

  computer vision, NLP, or reinforcement learning

  .