Minimum of 2+ years of experience in AI-based application development and able to create Python APIs.
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 solid 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 creative approaches for susta

📌 Ai/ml Developer Science City (India)
🏢 MindInventory
📍 India