Develop, optimize, and maintain AI-powered and Generative AI applications using Python
Integrate AI/ML models using TensorFlow, PyTorch, OpenAI APIs, Hugging Face Transformers, and LangChain
Implement and fine-tune Large Language Models (LLMs) like GPT, Claude, and Llama for various applications
Develop AI-driven chatbots, content generation tools, and automation frameworks using GenAI
Optimize AI model inference for performance and cost efficiency using techniques like quantization and model distillation
Build RESTful APIs and GraphQL endpoints for AI model integration
Work with vector databases like FAISS, Pinecone, or Weaviate for AI-powered search and retrieval
Implement AI ethics and bias mitigation strategies for responsible AI development
Deploy AI models using cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI)
Enhance application scalability using containerization (Docker, Kubernetes) and cloud orchestration
Stay updated with the latest GenAI advancements, tools, and frameworks
