AI Innovation Specialist

3 hours ago

Vijayawada, Andhra Pradesh, India beBeeGenerative Full time ₹ 1,20,00,000 - ₹ 2,50,00,000
AI Innovation Specialist

The AI Innovation Specialist is responsible for driving innovation by designing and implementing advanced generative AI models to meet business needs. Key responsibilities include fine-tuning LLMs, optimizing scalable ML pipelines, and integrating AI into applications for seamless performance.

Key Responsibilities:

  • Develop Next-Gen Generative AI Models: Research, design, and fine-tune state-of-the-art models like Llama, GPT, Stable Diffusion, and VAEs to drive business impact.
  • Enhance AI Capabilities: Implement and optimize LLM fine-tuning, prompt engineering, and AI safety mechanisms to improve model efficiency and usability.
  • Integrate AI into Applications: Work closely with business and engineers to embed generative AI solutions into real-world applications, ensuring seamless user experiences.
  • Optimize for Scale & Performance: Build and refine scalable ML pipelines for efficient model deployment, inference, and real-time adaptation.
  • Stay Ahead of AI Trends: Keep pace with emerging technologies, model architectures, and industry breakthroughs to drive continuous innovation.

Requirements:

  • At least 4-5 years of experience in Data Science domain with strong exposure to Generative AI.
  • Experience using Machine and Deep Learning languages, preferably Python and R, to manipulate data and draw insights from large datasets.
  • Hands-on experience with LLMs, multimodal AI, and diffusion models for applications in text, image, or speech generation.
  • Familiarity with cloud platforms (AWS, GCP, Azure), model deployment strategies, and GPU optimization.
  • Ability to work with large-scale datasets, vector embeddings, and retrieval-based AI systems.

Benefits:

  • Opportunity to work on cutting-edge AI projects and contribute to the development of innovative AI solutions.
  • Collaborate with experienced professionals in the field of AI and Data Science.
  • Professional growth and development opportunities.

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