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Information Technology 🏒 Full Time ⭐️ Verified

AI & Quantum Integration Specialist - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon Technologies is at the forefront of integrating Artificial Intelligence with Quantum Computing to solve complex global problems. We are seeking a visionary AI & Quantum Integration Specialist to lead our research division.

In this role, you won't just be maintaining legacy systems; you will architect the future of computing. You will bridge the gap between classical machine learning models and quantum algorithms, ensuring our platforms are scalable, secure, and ready for the next industrial revolution.

Responsibilities

  • Architect Future-Proof AI Systems: Design and implement scalable machine learning architectures optimized for quantum hardware integration.
  • Lead Research Initiatives: Spearhead R&D projects in Generative AI, Large Language Models (LLMs), and Quantum Machine Learning (QML).
  • Optimize Neural Networks: Refine deep learning models to run efficiently on edge devices and hybrid cloud environments.
  • Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and product managers to translate technical requirements into actionable roadmaps.
  • Ensure Ethical AI Compliance: Establish frameworks for bias mitigation, transparency, and responsible AI deployment.

Qualifications

  • Advanced Education: Master’s or PhD in Computer Science, Artificial Intelligence, Physics, or a related quantitative field.
  • Technical Mastery: Extensive experience with Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq).
  • Experience: 5+ years of professional experience in machine learning, deep learning, or data science.
  • Cloud Proficiency: Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Problem Solving: Proven track record of solving complex, high-stakes engineering challenges.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Deep Learning Cloud Computing Data Science Ethics in AI

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