Smart It Frame - Houston, TX

posted 27 days ago

Full-time
Houston, TX
Professional, Scientific, and Technical Services

About the position

The Generative AI Developer will be responsible for designing, developing, and implementing generative AI models that enhance products and services. This role involves collaboration with cross-functional teams to create innovative AI solutions aimed at improving user experience and optimizing business processes.

Responsibilities

  • Develop and implement generative AI models
  • Collaborate with data scientists and engineers to preprocess data and build robust datasets for training AI models
  • Conduct experiments to evaluate model performance, tuning hyperparameters to optimize results
  • Stay current with the latest research and advancements in AI and machine learning, applying best practices to your work
  • Design and implement scalable solutions for deploying generative models in production environments
  • Document processes, algorithms, and findings to facilitate knowledge sharing across the team
  • Troubleshoot and debug issues related to AI models and deployment
  • Participate in code reviews and contribute to improving team practices and workflows

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
  • Proven experience in developing and deploying generative AI models
  • Proficiency in programming languages such as Python, and familiarity with libraries/frameworks like TensorFlow, PyTorch, and Keras
  • Strong understanding of machine learning algorithms and techniques, particularly in generative models
  • Experience with natural language processing (NLP) and computer vision is a plus
  • Excellent problem-solving skills and ability to work in a collaborative team environment
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders

Nice-to-haves

  • Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions
  • Familiarity with version control systems like Git
  • Contributions to open-source projects or publications in AI-related fields
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