Generative AI Engineer

2 weeks ago


San Francisco, California, United States Triunity Software, Inc. Full time

Title: Generative AI Engineer

Company: Triunity Software, Inc.

Location: Remote (Local Candidates Preferred)

Job Overview

We are seeking a skilled professional with a robust background in artificial intelligence and machine learning. The ideal candidate will possess:

  • At least 5 years of experience in the design, development, and deployment of innovative generative AI solutions.
  • Hands-on expertise in Natural Language Processing (NLP) and/or the implementation of neural networks.
  • Strong proficiency in Python and familiarity with machine learning libraries.
  • Experience in model development and training processes.
  • Solid understanding of prompt engineering techniques to create effective prompts.
  • Ability to leverage advanced machine learning methodologies to create and refine generative AI models.
  • Experience collaborating with interdisciplinary teams to prepare and preprocess extensive datasets for model training.
  • Research and implementation of algorithms.
  • Proficiency in programming languages, particularly Python, with a focus on AI-related libraries such as TensorFlow, PyTorch, and Keras.
  • Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
  • Knowledge of NLP strategies for text generation.
  • Understanding of data preprocessing, augmentation, and synthetic data generation techniques.
  • Excellent written and verbal communication skills.
  • Experience in an Agile work environment.
  • A proactive attitude towards learning and adapting in dynamic settings.

Minimum Qualifications:

  • 5 years of relevant experience.
  • No specific certifications required.

Key Responsibilities:

  • Demonstrate practical knowledge of Natural Language Processing (NLP) and/or neural network implementation.
  • Exhibit proficiency with Python and machine learning libraries.
  • Engage in model development and training activities.

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