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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Vision Engineer - 2026 Initiative

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Systems is seeking a visionary Senior AI Vision Engineer to lead our R&D division focused on next-generation generative models and autonomous systems.

In this pivotal role, you will architect scalable AI infrastructures designed to outperform current market standards. You will work at the intersection of deep learning, neural architecture search, and real-time data processing. We are not just building software for today; we are engineering the solutions for the future.

Why Join Our Mission?

  • Shape the roadmap for the 2026 AI Revolution.
  • Work with a world-class team of engineers and researchers.
  • Competitive compensation package including equity options.

Responsibilities

  • Design and implement cutting-edge neural network architectures optimized for 2026 performance standards and latency requirements.
  • Lead a cross-functional team in research and development of predictive algorithms for autonomous decision-making.
  • Oversee the deployment of large-scale LLMs (Large Language Models) ensuring high availability, scalability, and security.
  • Collaborate closely with product managers to translate futuristic concepts into deployable, production-ready code.
  • Establish industry-leading best practices for data governance, model explainability, and ethical AI usage.
  • Conduct rigorous testing and optimization of AI inference pipelines to ensure real-time responsiveness.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on Deep Learning frameworks (PyTorch, TensorFlow).
  • Proven experience in training, fine-tuning, and optimizing large transformer models.
  • Strong proficiency in Python, C++, and distributed computing systems (Kubernetes, AWS/GCP).
  • Excellent problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Computer Vision Cloud Architecture Kubernetes Docker Scikit-learn

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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