Python with GenAI

Job Summary: We are looking for a skilled Python Developer with expertise in Generative AI to join our innovative team. The ideal candidate will have a passion for building models and applications that leverage generative algorithms to create new content, enhance user experiences, and solve complex problems.

Key Responsibilities:

• Design, develop, and maintain Python applications that utilize Generative AI techniques.
• Collaborate with cross-functional teams to gather requirements and define the scope of AI projects.
• Implement and optimize generative models, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or transformer-based models (e.g., GPT, BERT).
• Preprocess and analyze large datasets for training and validation of generative models.
• Conduct experiments to test and improve the effectiveness of generative algorithms.
• Document processes, model architectures, and code for reproducibility and knowledge sharing.
• Stay current with trends and advancements in Generative AI and contribute to research initiatives as needed.

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 (e.g., Pandas, NumPy).
• Knowledge of cloud services (AWS, GCP, Azure) and deployment strategies for AI solutions.
• Excellent analytical and problem-solving skills with attention to detail.
• Strong communication skills and 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 (e.g., Git).
• Contributions to open-source projects or research publications in the field of Generative AI.