Artificial Intelligence Engineer

NHAI; Miami (FL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

NHAI in Miami is seeking an Artificial Intelligence Engineer to design, train, and deploy AI systems that support our operations and strategic goals. You will build and refine ML/DL models, with a focus on NLP-based applications to automate decision-making.

Collaborating with software engineers and data scientists, you will integrate AI models into production, monitor performance, and document workflows, operating in a hybrid on-site/remote setup in Miami, FL.

Qualifications

• Strong foundation in Computer Science and software development.
• Experience with Pattern Recognition and Neural Networks.
• Hands-on NLP experience including text preprocessing and model evaluation.
• Proficiency in Python and ML frameworks with version control.
• Experience with large data pipelines and cloud or distributed compute.

Responsibilities

• Design, train and deploy ML/DL models for operations and strategy.
• Develop NLP-based applications to automate decision-making.
• Collaborate with software engineers, data engineers and domain experts.
• Monitor model performance and optimize scalability and reliability.
• Maintain clear technical documentation and contribute to best practices.

Skills

Pattern recognition

Neural networks

Natural language processing

ML programming

Python

TensorFlow

PyTorch

scikit-learn

Data pipelines

Communication with stakeholders

Education

Bachelor's or Master's in CS/AI/DS or equivalent

Tools

Python

TensorFlow

PyTorch

scikit-learn

Job description

Company Description

NHAI is a forward-looking organization focused on leveraging advanced technologies to improve infrastructure planning, operations, and public services. The organization invests in data-driven solutions to enhance efficiency, safety, and sustainability across its projects. NHAI encourages innovation and cross-functional collaboration, providing professionals with opportunities to work on high-impact initiatives. Team members are supported with modern tools, continuous learning, and a culture that values ethical, inclusive practices and long-term societal benefits.

Role Description

The Artificial Intelligence Engineer will design, develop, and deploy AI solutions that support NHAI's operational and strategic objectives. Day-to-day responsibilities include building and training machine learning and deep learning models, implementing pattern recognition systems, and working on NLP-based applications to automate and enhance decision-making. The role involves collaborating with software developers, data engineers, and domain experts to integrate AI models into production systems and to optimize performance and scalability. This is a full-time hybrid role based in Miami, FL, where the engineer will spend part of the time on-site for collaboration and project work, with some flexibility to work from home for development, experimentation, and documentation tasks. The position also includes maintaining clear technical documentation, monitoring model performance, and contributing to continuous improvement of AI practices and standards.

Qualifications

• Strong foundation in Computer Science and Software Development, including algorithms, data structures, and coding best practices.
• Demonstrated experience with Pattern Recognition and Neural Networks for classification, prediction, and anomaly detection tasks.
• Hands-on expertise in Natural Language Processing (NLP), including text preprocessing, model training, and evaluation.
• Proficiency in AI/ML programming languages and frameworks (e.g., Python, TensorFlow, PyTorch, scikit-learn) and version control tools.
• Experience working with large datasets, data pipelines, and cloud or distributed computing environments.
• Ability to translate business and operational requirements into technical AI solutions and communicate findings to non-technical stakeholders.
• Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• Familiarity with infrastructure, transportation, or public sector projects is beneficial, along with a commitment to ethical AI and data privacy.