Chief Generative Model Architect

1 day ago

Nashik, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Artificial Intelligence Engineer

We are seeking a highly skilled Artificial Intelligence Engineer to join our team. As an AI Engineer, you will be responsible for designing and developing advanced artificial intelligence models that can generate human-like text, images, and other forms of content.

Key Responsibilities:
  • Develop and train large language models (LLMs) using various libraries and frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
  • Design and implement novel generative models that can produce high-quality text, images, or other forms of content.
  • Work on fine-tuning and transfer learning techniques to improve the performance of existing LLMs.
  • Collaborate with cross-functional teams to deploy and integrate AI models into our products and services.
  • Stay up-to-date with the latest advancements in AI research and apply this knowledge to drive innovation within our organization.
Required Skills and Qualifications:
  • 3+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models.
  • Strong programming skills in Python and familiarity with relevant libraries and frameworks.
  • Hands-on experience in building data applications using Streamlit or similar tools.
  • Deep understanding of transformer architecture, including multi-head attention, layer normalization, and residual connections.
  • Proficiency with Hugging Face Transformers, PyTorch, or TensorFlow.
  • Experience in training and deploying LLMs for tasks like text generation, summarization, or translation.
  • Familiarity with AdamW, learning rate warm-up, and optimization strategies.
  • Exposure to advanced transformer variants (e.g., Transformer-XL, Longformer, BigBird, LoRA).
  • Solid debugging and performance tuning skills.
Benefits:
  • Opportunity to work with cutting-edge technologies and contribute to innovative projects.
  • Collaborative and dynamic work environment with a team of experienced professionals.
  • Professional growth and development opportunities.
Others:
  • Experience with Docker, Kubernetes, and MLOps is a plus.
  • Knowledge of CI/CD pipelines and model deployment best practices is a plus.

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