Neural Networks Jobs Near Me

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks * Quantify and calibrate model performance and uncertainty Requirements

Deep knowledge of machine learning algorithms, neural networks, natural language processing, computer vision, reinforcement learning, search algorithms, knowledge representation, probabilistic ...

... neural networks to improve predictive analytics - Collaborating with stakeholders to address data challenges and optimize AI applications - Mentoring team members to develop skills in AI ...

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Demonstrated experience with common data science methodologies including decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling. * Effective communication ...

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

AI : LLM, NLP, ML, Gen AI, Deep Learning, Neural Networks * Programming : Java, Python, C#, JavaScript, .NET, SQL * Data : ETL, PL/SQL, Snowflake, Tableau, GitHub * Cybersecurity : Cyber Defense ...

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...

Strong understanding of the foundational principles and practical implementation of machine learning algorithms for anomaly detection, including clustering, classification, neural networks, distance ...

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

Graph neural networks, network science, or graph-based optimization * Reinforcement learning, multi‑armed bandits, or online/continuous learning * Behavioral modeling, adaptive intervention design ...

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

Stay ahead of industry trends in adversarial ML, graph neural networks, sequence modeling, reinforcement learning, and MLOps practices * Communicate complex technical concepts and platform ...

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...

Graph neural networks, network science, or graph-based optimization * Reinforcement learning, multi-armed bandits, or online/continuous learning * Behavioral modeling, adaptive intervention design ...

Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks including physics-informed architectures, and chemistry foundation models.

In-depth knowledge of advanced machine learning algorithms, including logistic regression, XGBoost, Deep Neural Networks (CNN and RNN), clustering, and recommendation systems, with expertise in model ...