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.
- Deep understanding of machine learning algorithms, statistical modeling, and AI techniques, including deep learning, reinforcement learning, and NLP.
- 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.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.