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Generative AI Engineer
3 months ago
Responsibilities :
- Research and explore the latest advancements in generative AI techniques, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and large language models (LLMs).
- Design, develop, and train generative AI models tailored to specific business objectives and user needs.
- Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
- Implement and optimize generative AI models for production environments, ensuring scalability and efficiency.
- Evaluate model performance, identify areas for improvement, and iterate on model architectures and training processes.
- Stay up-to-date with industry trends and emerging technologies in the field of generative AI.
- Contribute to the development of intellectual property and publications related to generative AI research.
Required Skills and Experience :
- Strong foundation in machine learning, deep learning, and statistical modeling.
- Expertise in Python programming and deep learning frameworks (TensorFlow, PyTorch).
- Hands-on experience with generative AI techniques (GANs, VAEs, LLMs).
- Proficiency in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and collaboration skills.
Preferred Qualifications :
- Master's or PhD degree in computer science, machine learning, or a related field.
- Experience with cloud platforms (AWS, GCP, Azure) for AI model deployment.
- Publications in top-tier AI conferences or journals.
- Knowledge of natural language processing (NLP) and computer vision