Hybrid AI Engineer: NLP & ML for Smart Infrastructure

NHAI

Miami (FL)

Hybrid

USD 120,000 - 180,000

Full time

45 hours ago
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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

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.

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