3+ years of experience in AI, ML, or NLP
Proven experience working with LLMs, text-to-image models, and generative AI applications.
Strong understanding of deep learning, transformer architectures, reinforcement learning, and diffusion models.
Familiarity with cloud based AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI) and hashtag#MLOps best practices.
Proficiency in programming languages such as Python, Tensor Flow, PyTorch, and Hugging Face Transformers.
Experience working with APIs for OpenAI, Anthropic, Cohere, and Stability AI.
Hands-on experience with prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG) techniques.
Knowledge of vector databases (FAISS, Pinecone, ChromaDB) for efficient AI search and retrieval.
Strong understanding of data privacy, AI ethics, and regulatory compliance (e.g., GDPR, AI Act, CCPA).