4 - 8 years
12 - 18 Lacs
Posted:2 hours ago|
Platform:
Work from Office
Full Time
HandsOn Exposure to Generative AI (Design, development of GenAI application in production) • Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. • Strong understanding of deploying and optimizing AI application in production. • Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. • Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) • Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. • Experience in advanced Text Analytics (NLP, NLU, NLG). • Strong hands-on experience of end-to-end statistical model development and implementation • Understanding of LLMOps, ML Ops for scalable ML development. • Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). • Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. • Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc.
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