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 • Kolkata, West Bengal, India