| Hiring for AI Engineer at Dallas, TX at Dallas, Texas, USA |
| Email: [email protected] |
| From: Dushyanth, Siriinfo [email protected] Reply to: [email protected] Hi Hiring for AI Engineer at Dallas, TX Engineer Role Description: AI Engineer with proficient knowledge in Artificial Intelligence, specifically Machine Learning, Deep Learning, and Computer Vision. Experience in Machine Learning algorithms with both structured and unstructured data. Experience in predictive models using Random Forests, Nave Bayes, Support Vector Machines, and Neural Networks. Strong programming skills in Python, with expertise in popular machine learning libraries and frameworks such as TensorFlow, Pandas, Scikit-learn, and Keras. Hands-on experience with deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, for tasks such as image classification, object detection, sequence prediction, and language translation. Experienced in implementing tools such as Jenkins, and Docker to automate deployment pipelines, improve software quality, and streamline continuous integration and continuous delivery(CI/CD) processes. Experience in machine learning algorithms and statistical techniques to analyze data, identify trends, and generate actionable insights to inform strategic decision-making. Competencies: Digital : Machine Learning Experience (Years): 6-8 Essential Skills: AI Engineer with proficient knowledge in Artificial Intelligence, specifically Machine Learning, Deep Learning, and Computer Vision. Experience in Machine Learning algorithms with both structured and unstructured data. Experience in predictive models using Random Forests, Nave Bayes, Support Vector Machines, and Neural Networks. Strong programming skills in Python, with expertise in popular machine learning libraries and frameworks such as TensorFlow, Pandas, Scikit-learn, and Keras. Hands-on experience with deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, for tasks such as image classification, object detection, sequence prediction, and language translation. Experienced in implementing tools such as Jenkins, and Docker to automate deployment pipelines, improve software quality, and streamline continuous integration and continuous delivery(CI/CD) processes. Experience in machine learning algorithms and statistical techniques to analyze data, identify trends, and generate actionable insights to inform strategic decision-making. Desirable Skills: AI Engineer with proficient knowledge in Artificial Intelligence, specifically Machine Learning, Deep Learning, and Computer Vision. Experience in Machine Learning algorithms with both structured and unstructured data. Experience in predictive models using Random Forests, Nave Bayes, Support Vector Machines, and Neural Networks. Strong programming skills in Python, with expertise in popular machine learning libraries and frameworks such as TensorFlow, Pandas, Scikit-learn, and Keras. Hands-on experience with deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer models, for tasks such as image classification, object detection, sequence prediction, and language translation. Experienced in implementing tools such as Jenkins, and Docker to automate deployment pipelines, improve software quality, and streamline continuous integration and continuous delivery(CI/CD) processes. Experience in machine learning algorithms and statistical techniques to analyze data, identify trends, and generate actionable insights to inform strategic decision-making. Thanks & regards Dushyanth | Sr. IT Recruiter| Email: [email protected] Keywords: continuous integration continuous deployment artificial intelligence information technology Texas Hiring for AI Engineer at Dallas, TX [email protected] |
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| Fri Mar 29 20:10:00 UTC 2024 |