Advanced Generative AI Specialist

2 weeks ago

Anand, Gujarat, India beBeeInnovator Full time ₹ 1,50,00,000 - ₹ 2,10,00,000
Generative AI Innovator

We are seeking a highly skilled Generative AI Innovator to drive the development of cutting-edge AI applications.

 

Key Responsibilities:

  • Develop and implement advanced generative AI solutions leveraging LLMs and RAG techniques.
  • Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve operational efficiency.
  • Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data.
  • 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.
  • Conduct thorough research on emerging deep learning techniques and architectures.
  • 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.

Requirements
  • Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs.
  • Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance.
  • 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.
  • 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.
Preferred Qualifications
  • Computer Vision: Familiarity with computer vision techniques and frameworks.
  • Cloud Deployment: Experience with deploying AI models and applications on cloud platforms.
  • Leadership Experience: Prior experience in leading small teams or mentoring junior engineers.

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