
Pioneering Generative AI Engineer
6 days ago
As a pioneering force in Generative AI, you will be at the forefront of innovation, pushing the boundaries of cutting-edge models like Gemini and LLaMA. You will dive deep into the world of Generative AI, vector databases, and deep learning frameworks to create groundbreaking solutions that drive business outcomes.
Key Responsibilities- Develop and implement cutting-edge generative AI solutions, leveraging large language models and retrieval-augmented generation techniques to solve complex business challenges and drive innovation.
- Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve operational efficiency across various departments.
- Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance.
- Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks.
- Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions.
- Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems.
- Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations.
- Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization.
- Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, 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, optimizing their performance for targeted applications.
- 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, with the ability to apply them to solve complex real-world problems.
- Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries.
- AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions.
- Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions.
- Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments.
- Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department.
At our organization, we empower our team members to contribute to a larger than life cause. We are looking for talented individuals who share our passion for innovation and are eager to push boundaries and set high goals.
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