Python Developer with Generative AI Expertise

6 days ago


San Jose, California, United States Zealogics Full time
Job Title: Python with GenAI

We are seeking a skilled Python Developer with expertise in Generative AI to contribute to our innovative team.

Key Responsibilities:
  • Design, develop, and maintain Python applications that leverage Generative AI techniques to create new content, enhance user experiences, and solve complex problems.
  • Collaborate with cross-functional teams to gather requirements and define the scope of AI projects, ensuring seamless integration with existing systems.
  • Implement and optimize generative models, such as GANs, VAEs, or transformer-based models, to drive business value and improve user engagement.
  • Preprocess and analyze large datasets for training and validation of generative models, utilizing tools like Pandas and NumPy.
  • Conduct experiments to test and improve the effectiveness of generative algorithms, applying machine learning concepts and best practices.
  • Document processes, model architectures, and code for reproducibility and knowledge sharing, adhering to software development standards.
  • Stay current with trends and advancements in Generative AI, contributing to research initiatives and driving innovation within the company.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Proven experience as a Python Developer, with a strong portfolio of projects related to Generative AI.
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or similar libraries.
  • Strong understanding of machine learning concepts and familiarity with generative models.
  • Experience with data manipulation and analysis tools, as well as cloud services like AWS, GCP, or Azure.
  • Excellent analytical and problem-solving skills, with attention to detail and a strong ability to work collaboratively in a team setting.
Preferred Qualifications:
  • Experience with applications of Generative AI in areas such as natural language processing, image generation, or music creation.
  • Familiarity with software development best practices, including version control using tools like Git.
  • Contributions to open-source projects or research publications in the field of Generative AI.

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