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
- Machine Learning
- Deep Learning
- AI Research
- NLP
- Model Deployment
Preferred Technologies
- Machine Learning
- Deep Learning
- AI Research
- NLP
- Model Deployment
About the company
Atyeti Inc focuses on helping organizations leverage data by providing technology and services that ensure optimal use of AI and Machine Learning.
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