Description

You will design and implement generative AI models and scalable applications, owning the lifecycle from model architecture to cloud deployment.

Responsibilities

• Architect generative AI solutions using LLMs such as GPT, LLaMA, PaLM, and BLOOM.
• Fine-tune pre-existing models and optimize performance through hyperparameter tuning.
• Build and maintain APIs using Python frameworks to integrate AI capabilities.
• Implement supervised, unsupervised, and reinforcement learning techniques.
• Deploy and optimize models for scalability on cloud platforms.

Required Skills

• 4+ years of experience in AI-based application development.
• Deep learning expertise with GPT, VAE, and GANs.
• Proficiency in Python and frameworks including FastAPI, Django, or Flask.
• Experience with TensorFlow, Keras, and PyTorch.
• Hands-on work with LangChain, Anthropic's Constitutional AI, OpenAI's Whisper, and Hugging Face.
• Practical knowledge of Prompt Engineering and multimodal LLM customization.
• Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
• Cloud experience with AWS, Google Cloud, or Azure.
• Degree in any field of study.

Preferred Skills

• Experience delivering AI solutions within Healthcare, Real Estate, or Fintech industries.

Key Skills

Education

Any Graduate