- Texas A&M University System (Bryan, TX)
- …a related field. Preferred Qualifications + Experience with machine learning and deep neural network techniques. + Experience with wearable and sensors placed in the ... environment. + Knowledge of characteristics associated with mild cognitive impairment capturable with digital interfaces. + Experience with agentic large language models + Experience in artificial intelligence to develop the algorithms for digital twins +… more
- Amazon (Austin, TX)
- …Your software will directly drive the execution and management of hardware accelerated neural network models deep within the SOC's Neuron Cores. You'll also work ... closely with our architecture and design teams to drive hardware/software co-design, developing both firmware and custom hardware that enables ML within our accelerator chips. Our team's charter is to make deep learning pervasive for everyday software… more
- Kemper (Dallas, TX)
- …decision trees, ensemble learning, regularized models (ridge/lasso/nets), clustering, and neural networks. + Some experience with natural language processing is ... preferred. + Prior experience working with imbalanced datasets and AWS is a plus. + Ability to work with various data formats. This includes relational databases (especially), delimited text files, data frames, and JSONs. + Excellent overall communication… more
- Deloitte (Austin, TX)
- …NLP models + Setup and train large language models and other state-of-the-art neural networks + Conduct thorough testing and validation to ensure accuracy and ... reliability of model implementations + Perform statistical analysis of results and optimize model performance for various computational environments, including cloud and edge computing platforms + Explore and propose innovative AI use cases to enhance tax… more
- Marathon Petroleum Corporation (San Antonio, TX)
- …a broad range of techniques and approaches, including machine learning, neural networks, natural language processing, computer vision, robotics, and expert systems, ... among others. The ultimate goal of AI is to create machines that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, making decisions, and solving problems. + Authentic Communicator -… more
- Siemens (Austin, TX)
- …experience with AI/ML techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning. Strong proficiency in programming ... languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Knowledge of machine learning and deep learning frameworks. Strong understanding of Compiler Concepts, Optimizations, and parallel computing. Experience working… more
- Molina Healthcare (Fort Worth, TX)
- …methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks. * Experience with Agentic Workflows: Familiarity with designing and ... implementing agentic workflows that leverage AI agents for autonomous operations. * RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. * Model Fine-Tuning Expertise: Proven experience in… more
- Molina Healthcare (San Antonio, TX)
- …methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks. * Experience with Agentic Workflows: Familiarity with designing and ... implementing agentic workflows that leverage AI agents for autonomous operations. * RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. * Model Fine-Tuning Expertise: Proven experience in… more
- Amazon (Austin, TX)
- …programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with ... modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience with conducting research in a corporate setting - Experience in model training… more
- USAA (Plano, TX)
- …regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep ... learning, k-means and other clustering methods, simulation methods, or other advanced techniques. + Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. + Demonstrated ability to write and review… more