
AI Model Designer
2 days ago
Job Title:
Artificial Intelligence Model Designer
We are seeking a skilled Artificial Intelligence Model Designer to design, develop, and deploy advanced machine learning models that generate high-quality, human-like content.
Key Responsibilities:
- Design, develop, and optimize generative AI models for various applications, including text, image, and audio generation.
- Collaborate with cross-functional teams to integrate these models into our products, enhancing their capabilities and delivering exceptional value to our clients.
- Conduct research to stay updated on the latest advancements in generative AI and apply best practices to improve model performance.
- Implement and maintain scalable machine learning pipelines for training and deploying models in production environments.
- Evaluate and fine-tune models to ensure they meet performance, accuracy, and efficiency standards.
- Perform data preprocessing, augmentation, and annotation to prepare high-quality datasets for model training.
- Troubleshoot and resolve issues related to model performance, data quality, and integration with other systems.
- Document model architecture, training processes, and performance metrics for internal and client-facing reports.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
- Proven experience in developing and deploying generative AI models using frameworks such as TensorFlow, PyTorch, or similar.
- Strong programming skills in Python and proficiency with machine learning libraries and tools.
- Familiarity with natural language processing (NLP), computer vision, and other relevant AI techniques.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and management.
- Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills to effectively convey technical concepts to non-technical stakeholders.
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