AI Visionary

16 hours ago

San Francisco, California, United States Unreal Gigs Full time

At Unreal Gigs, we're seeking a highly skilled AI Visionary to join our team. With a passion for artificial intelligence and machine learning, this individual will design, develop, and deploy cutting-edge deep learning models that transform the way we interact with technology.

About the Role

We're looking for an experienced Deep Learning Architect to lead the development of our deep learning infrastructure. This is a unique opportunity to work on a wide range of projects, from computer vision to natural language processing.

  • The estimated salary for this role is $140,000 - $170,000 per year, based on industry standards and location.

Key Responsibilities:

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

To be successful in this role, you'll need:

  • Deep Learning Expertise: Extensive experience with deep learning algorithms, including convolutional neural networks, recurrent neural networks, transformers, and generative models.
  • Programming Skills: Proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Data Processing and Augmentation: Experience in preprocessing and augmenting large datasets for deep learning tasks, especially in areas like computer vision and NLP.
  • Cloud and Deployment Experience: Hands-on experience deploying deep learning models to cloud platforms like AWS, Google Cloud, or Azure.
  • Mathematical and Statistical Foundations: Strong understanding of the mathematical concepts behind deep learning, including linear algebra, probability, optimization, and gradient descent.

Educational Requirements:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Data Science, or a related field.
  • Certifications or additional coursework in deep learning, AI, or related fields are a plus.

Experience Requirements:

  • 3+ years of experience in deep learning engineering or machine learning, with a proven track record of developing, training, and deploying deep learning models in production environments.
  • Experience working with large datasets, developing complex neural network architectures, and optimizing models for performance and scalability.

Benefits:

  • Comprehensive medical, dental, and vision insurance plans.
  • Competitive 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.

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