AI Model Architect

2 weeks ago


Austin, Texas, United States Unreal Gigs Full time
Unreal GigsDeep Learning Engineer (AI/ML)

We are seeking a highly skilled Deep Learning Engineer to design, train, and deploy cutting-edge AI models that drive innovation in computer vision, natural language processing, and speech recognition. The successful candidate will have extensive experience with deep learning algorithms, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, generative models (GANs, VAEs), and reinforcement learning.

About the Role:
  • Design and develop deep learning models using TensorFlow, PyTorch, or Keras, and implement custom layers or architectures as needed.
Key Responsibilities:
  1. Data Collection and Preprocessing: Work closely with data engineers and scientists to collect, preprocess, and clean large datasets for training deep learning models.
  2. Model Optimization and Tuning: Experiment with different neural network architectures and hyperparameters to optimize model performance.
  3. Deploy and Scale Models: Deploy trained deep learning models into production environments, ensuring they are scalable and efficient.
  4. Model Monitoring and Maintenance: Continuously monitor the performance of models in production and retrain or fine-tune them as needed.
  5. Cross-Functional Collaboration: Collaborate with product managers, software engineers, and data scientists to integrate deep learning models into applications and products.

Estimated Salary: $140,000 - $170,000 per year

Requirements:
  • Extensive experience with deep learning algorithms, including CNNs, RNNs, transformers, generative models (GANs, VAEs), and reinforcement learning.
  • Proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Experience in preprocessing and augmenting large datasets for deep learning tasks, especially in areas like computer vision and NLP.
  • Hands-on experience deploying deep learning models to cloud platforms such as AWS, Google Cloud, or Azure.
  • Strong understanding of mathematical concepts behind deep learning, such as linear algebra, probability, optimization, and gradient descent.
Benefits:
  • Comprehensive medical, dental, and vision insurance plans.
  • Paid vacation, sick leave, and 20 paid holidays per year.
  • Flexible work schedules and telecommuting options.
  • Opportunities for training, certification reimbursement, and career advancement programs.
  • Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and disability insurance coverage.
  • Employee assistance program for personal and professional challenges.
  • Tuition reimbursement for continuing education and professional development.


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