| Looking for a AI Architect at Remote, Remote, USA |
| Email: [email protected] |
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From: Arbaz Qureshi, Scalable Systems [email protected] Reply to: [email protected] Role name: | AI Enterprise Architect | Role Description: | Experienced AI Architect with 10+ years of experience in architecting, designing and deploying Machine Learning (ML) solutions to generate business value Solid theoretical and practical knowledge of some or most o econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.o Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.o Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organizationo Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc Extensive experience in Cloud security, MLOps | Competencies: | Digital : Artificial Intelligence(AI) | Experience (Years): | 10 & Above | Essential Skills: | Experienced AI Architect with 10+ years of experience in architecting, designing and deploying Machine Learning (ML) solutions to generate business value Solid theoretical and practical knowledge of some or most o econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.o Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.o Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organizationo Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc Extensive experience in Cloud security, MLOps | Desirable Skills: | Experienced AI Architect with 10+ years of experience in architecting, designing and deploying Machine Learning (ML) solutions to generate business value Solid theoretical and practical knowledge of some or most o econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.o Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.o Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organizationo Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc Extensive experience in Cloud security, MLOps | Country: | United States | Branch | City | Location: | TCS - Minneapolis Downtown, MN MINNESOTA MINNESOTA, USA | Keywords: | Experienced AI Architect with 10+ years of experience in architecting, designing and deploying Machine Learning (ML) solutions to generate business value Solid theoretical and practical knowledge of some or most o econometric/statistical methods like Linear Regression, Logistic regression, Generalized Linear Model, Survival Analysis, Sampling Techniques, Time Series Analysis, CART, CHAID, Clustering, Discriminant Analysis, Principal Component Analysis, Factor Analysis, Multidimensional Scaling etc.o Machine Learning techniques like Random Forest, Support Vector Machine, Gradient Boosting Machine, XGBoost etc.o Deep Learning techniques across Recurrent Neural Networks, Convolutional Neural Networks etc. and Transformer Architectures as applied in the domains of Natural Language Processing (NLP) and / or Computer Vision (CV)Consistent track record of building and successfully deploying Machine Learning solutions with demonstrable value to the organizationo Generative AI techniques like RAG, Agentic Workflows, Graph RAG, Model Tuning etc Extensive experience in Cloud security, MLOps | Keywords: artificial intelligence machine learning Minnesota Looking for a AI Architect [email protected] |
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| 04:35 AM 16-Jan-25 |