Job Title

Job Description:Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrievalDeep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systemsStrong grasp of statistics, probability, and the mathematics underpinning modern AIAbility to surf and synthesize current AI/ML research, with a track record of applying new methods in productionProven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions.Develop agentic AI workflows using LangChain, LangGraph, CrewAI, Autogen, or PhiData .Deploy and manage models using MLflow, Kubeflow, SageMaker, Docker, and Kubernetes .Monitor model performance, drift, and ensure scalability and robustness in production.Collaborate with cross-functional teams to align ML solutions with business and product goals.