
AI Innovator
2 weeks ago
We are seeking a skilled Generative AI Engineer to join our team and contribute to the development of cutting-edge AI applications.
Main Responsibilities:
- Design and implement generative AI solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to solve complex business challenges.
- Develop and optimize AI agents that automate tasks, enhance decision-making processes, and improve operational efficiency across various departments.
- Spearhead the implementation of vector databases for efficient storage and retrieval of high-dimensional data in AI applications.
- Fine-tune pre-trained models to adapt them to specific use cases and improve their performance on domain-specific tasks.
- Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services.
- Conduct thorough research on emerging deep learning techniques and architectures to stay at the forefront of AI advancements.
- Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes.
- Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles.
- Cultivate a seeker mindset by continuously exploring new AI methodologies and tools.
Key Skills and Qualifications:
- Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning and integration into production systems.
- Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks.
- Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks.
- Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications.
- Deep Learning: Strong foundation in deep learning principles and architectures.
- Generative AI: Comprehensive understanding of generative AI techniques and their practical applications.
- AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions.
Benefits:
- Opportunity to work on cutting-edge AI projects and contribute to innovation.
- Collaborative and dynamic work environment.
- Possibility of leadership growth and professional development.
Other Requirements:
- Strong passion for AI and its potential to transform industries.
- Exceptional skill in quickly grasping complex AI concepts and translating them into practical solutions.
- Able to comprehend and apply emerging deep learning techniques and architectures.
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