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AI/ML Architect

Omega Hires

United States

Remote

USD 120,000 - 160,000

Full time

Today
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Job summary

A technology recruitment firm seeks an experienced Architect AI/ML to design and implement scalable AI solutions. You will develop strategies focusing on industrial IoT and optimize machine learning models for real-time analytics. The ideal candidate has a deep understanding of AI techniques and experience with Python and TensorFlow, capable of leading MLOps processes. This role is remote with a flexible location in the United States.

Qualifications

  • Deep understanding of machine learning algorithms and AI techniques.
  • Ability to architect scalable AI/ML solutions.
  • Experience with MLOps strategies and tools.

Responsibilities

  • Architect scalable, high-performance AI/ML solutions.
  • Develop AI strategies aligned with business goals.
  • Implement and manage MLOps processes.

Skills

AI/ML architecture
Machine learning algorithms
Data pipelines
Python
MLOps

Tools

TensorFlow
PyTorch
Job description
Overview

Job Role: Architect AI/ML
Location: Birmingham, AL (Remote)

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.
  • 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.
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