Data Processing & Embeddings :
Work with text, image, audio, and video data to create embeddings and preprocess inputs for AI models.
Prompt Engineering & Optimization :
Experiment with prompt engineering techniques to improve AI responses and outputs.
API Integration :
Utilize OpenAI, Azure OpenAI, Hugging Face, and other APIs to integrate AI models into applications.
Model Development & Fine-Tuning :
Assist in training, fine-tuning, and deploying Generative AI models (GPT, Llama, Stable Diffusion, Claude etc.).
AI Workflows & Pipelines :
Contribute to building and optimizing AI workflows using Python, TensorFlow, PyTorch, Langchain or other frameworks.
Cloud & Deployment :
Deploy AI solutions on cloud platforms like Azure, AWS, or Google Cloud, leveraging serverless architectures and containerization (Docker, Kubernetes).
AI Application Development :
Collaborate with developers to build AI-powered applications using frameworks like Streamlit, Flask, or FastAPI.
Experimentation & Research :
Stay updated on the latest advancements in Generative AI and explore new use cases.
Genai Developer • Pushkar, Rajasthan, India