Generative AI specialist

This is a remote position.

As a Generative AI Specialist, you will be responsible for developing, implementing, and optimizing generative AI models to solve complex problems and create innovative solutions. You will work closely with cross-functional teams to leverage generative AI techniques across various domains, including natural language processing, computer vision, and creative content generation.

Key Responsibilities:

Generative Model Development: Develop state-of-the-art generative models, such as GANs, VAEs, and transformers, to generate high-quality and creative content.

Model Training and Optimization: Train and fine-tune generative models using large datasets to achieve high levels of accuracy and performance.

Data Preprocessing: Clean, preprocess, and curate datasets for generative AI training, ensuring data quality and consistency.

Algorithm Design: Design and implement novel algorithms and techniques to improve the efficiency and effectiveness of generative AI models.

Cross-functional Collaboration: Collaborate with data scientists, machine learning engineers, and domain experts to integrate generative AI solutions into various applications and projects.

Model Evaluation: Evaluate and benchmark generative models using appropriate metrics and performance indicators.

Research and Innovation: Stay up-to-date with the latest advancements in generative AI and contribute to research efforts to push the boundaries of the field.

Documentation: Maintain comprehensive documentation of generative AI models, experiments, and results for knowledge sharing and future reference.

Ethical Considerations: Ensure ethical considerations are integrated into the development of generative AI models, including bias mitigation and responsible AI practices.

Requirements

• Bachelor's degree in computer science, artificial intelligence, machine learning, or a related field (Master's or Ph.D. preferred).
• Proven experience in developing and implementing generative AI models.
• Strong programming skills in Python and familiarity with relevant libraries (e.g., TensorFlow, PyTorch).
• Proficiency in data preprocessing and manipulation.
• Excellent problem-solving and algorithmic thinking skills.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Knowledge of ethical AI principles and responsible AI practices is a plus.

Benefits

• Competitive salary.
• Opportunities for professional development and continued learning.
• A dynamic and collaborative work environment.
• Access to cutting-edge technology and resources.