Description

  • Minimum of 4 years of experience in AI-based application development. 
  • Design, develop, and implement generative AI models using state-of-the-art techniques.
  • Fine-tune pre-existing models to improve performance and accuracy.
  • Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
  • Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.
  • Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications.
  • Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques.
  • Test and validate AI models to ensure they meet quality standards and fulfill business objectives.
  • Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems.
  • Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques.
  • Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure.
  • Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech.
  • Ensure the scalability, reliability, and performance of AI-based applications and systems.
  • Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage.
  • Expertise in Python programming and frameworks like FastAPI, Django etc
  • Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks.
  • Strong understanding and experience with open-source multimodal LLM models to customize and create solutions.
  • Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques.
  • Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning.
  • A proven track record of delivering impactful AI-driven solutions.
  • The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Key Skills
Education

Any Graduate

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