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Information Technology 🏒 Full Time ⭐️ Verified

AI & Machine Learning Architect (2026 Readiness)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary AI & Machine Learning Architect to spearhead our roadmap for the 2026 era. At Nexus Horizon, we are building the foundational technologies that will define the future of human-computer interaction. You will be responsible for designing, implementing, and scaling state-of-the-art AI systems that drive our core products.


In this role, you will bridge the gap between cutting-edge research and production-grade engineering, ensuring our systems are robust, scalable, and ready for the demands of 2026 and beyond. If you are passionate about the future of AI and want to lead a team of elite engineers, we want to hear from you.


Why Join Us?

  • Work on projects that shape the trajectory of AI in 2026.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium benefits.

Responsibilities

  • Design and architect scalable machine learning pipelines and infrastructure for the 2026 product suite.
  • Lead the research and implementation of advanced algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Optimize existing models for speed, accuracy, and cost-efficiency.
  • Establish best practices for MLOps, data governance, and model deployment.
  • Stay ahead of the curve on emerging AI trends to ensure our technology remains competitive.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 8+ years of experience in software engineering and machine learning.
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong programming skills in Python, with experience in distributed computing systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Track record of delivering high-impact AI projects from concept to deployment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Computing AWS GCP Docker Kubernetes NLP Computer Vision

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