GEN AI Architect - New Jersey

Photon Career Site-posted 3 months ago
$65,000 - $229,000/Yr
Full-time
5,001-10,000 employees
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The position involves designing and developing algorithms for generative models using deep learning techniques. The role requires collaboration with cross-functional teams to integrate generative AI solutions into existing systems, as well as staying updated on the latest advancements in generative AI technologies and methodologies. Responsibilities also include fine-tuning models for performance and efficiency, troubleshooting issues related to generative AI models and implementations, and creating comprehensive documentation for AI models and their applications. Additionally, the candidate will need to communicate complex technical concepts to non-technical stakeholders.

  • Design and develop algorithms for generative models using deep learning techniques.
  • Work with cross-functional teams to integrate generative AI solutions into existing systems.
  • Stay updated on the latest advancements in generative AI technologies and methodologies.
  • Fine-tune models for performance and efficiency.
  • Address and resolve issues related to generative AI models and implementations.
  • Create and maintain comprehensive documentation for AI models and their applications.
  • Explain complex technical concepts to non-technical stakeholders.
  • 6+ years of strong background in machine learning and deep learning algorithms.
  • Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch.
  • Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT).
  • Hands-on experience with prompt structures and fine-tuning model outputs to align with business needs and user expectations.
  • Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
  • Skills in data preprocessing and feature engineering for AI model training.
  • Strong understanding of neural network architectures and optimization techniques.
  • Experience in deploying AI models into production environments.
  • Ability to stay updated with the latest advancements in generative AI research and incorporate them into work.
  • Medical, vision, and dental benefits.
  • 401k retirement plan.
  • Variable pay/incentives.
  • Paid time off.
  • Paid holidays.
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