AI Scientist

About the job

Job Description : • Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning / customization, and embedding-based retrieval • Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems • Strong grasp of statistics, probability, and the mathematics underpinning modern AI • Ability to surf and synthesize current AI / ML research, with a track record of applying new methods in production • Proven 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.

Requirements

• Large language models
• NLP architectures
• Statistics
• AI workflows

Preferred Technologies

• Large language models
• NLP architectures
• Statistics
• AI workflows