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Senior AI/ML Architect | 2026 Vision

Quantum Horizon Systems
Austin
Estimated Salary
USD 190.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI/ML Architect to join our elite R&D division. As we prepare for the technological landscape of 2026 and beyond, you will lead the charge in developing next-generation generative models and autonomous systems. This is not just a job; it is an opportunity to define the future of human-computer interaction.

Quantum Horizon Systems is at the bleeding edge of innovation. We are building the infrastructure that will power the next decade of digital evolution. If you possess a deep understanding of neural architectures and a passion for pushing the boundaries of what is possible, we want to hear from you.

Responsibilities

  • Architect and deploy scalable large-scale machine learning systems for high-traffic environments.
  • Lead research initiatives into multimodal AI, generative adversarial networks (GANs), and transformer models.
  • Collaborate with cross-functional teams to integrate AI solutions into our core product ecosystem.
  • Optimize model inference latency and ensure ethical AI compliance and bias mitigation.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Stay ahead of industry trends, specifically focusing on the technological shifts anticipated in 2026.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 5+ years of professional experience in building and deploying production-grade machine learning models.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of deep learning architectures (CNNs, RNNs, Transformers).
  • Experience with MLOps tools (Kubernetes, Docker, MLflow) and cloud platforms (AWS, GCP, or Azure).
  • Strong problem-solving skills and the ability to translate complex research into practical engineering solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Computing AWS GCP Natural Language Processing Computer Vision

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