The Dignify Solutions, LLC
AI/ ML Architect with IoT Experience - Remote
The Dignify Solutions, LLC, Birmingham, Alabama, United States, 35275
Overview
AI/ ML Architect with IoT Experience - Remote Get AI-powered advice on this job and more exclusive features. Responsibilities
Architect scalable, high-performance AI/ML solutions for predictive maintenance, and real-time analytics. Develop AI strategies aligned with business goals, focusing on industrial IoT (IIoT) and edge computing. Design robust data pipelines and model deployment frameworks. Build and optimize machine learning models using Python, TensorFlow, PyTorch. Implement and manage MLOps strategies, processes, and tools for continuous integration, deployment, and monitoring of ML models. Oversee the deployment of ML models into production environments, ensuring they are scalable and performant. Ability to analyze business problems and design AI-driven solutions to address them. Develop algorithms and techniques to enhance the accuracy, reliability, and performance of models in real-world applications. Qualifications
Deep understanding of machine learning algorithms, statistical modeling, and AI techniques, including deep learning, reinforcement learning, and NLP. Proven experience building and deploying AI/ML models in production environments. Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). Seniorities
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
#J-18808-Ljbffr
AI/ ML Architect with IoT Experience - Remote Get AI-powered advice on this job and more exclusive features. Responsibilities
Architect scalable, high-performance AI/ML solutions for predictive maintenance, and real-time analytics. Develop AI strategies aligned with business goals, focusing on industrial IoT (IIoT) and edge computing. Design robust data pipelines and model deployment frameworks. Build and optimize machine learning models using Python, TensorFlow, PyTorch. Implement and manage MLOps strategies, processes, and tools for continuous integration, deployment, and monitoring of ML models. Oversee the deployment of ML models into production environments, ensuring they are scalable and performant. Ability to analyze business problems and design AI-driven solutions to address them. Develop algorithms and techniques to enhance the accuracy, reliability, and performance of models in real-world applications. Qualifications
Deep understanding of machine learning algorithms, statistical modeling, and AI techniques, including deep learning, reinforcement learning, and NLP. Proven experience building and deploying AI/ML models in production environments. Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). Seniorities
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting
#J-18808-Ljbffr