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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect (2026 Roadmap)

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

Job Description

We are seeking a visionary Senior AI & Machine Learning Architect to spearhead our cutting-edge initiatives leading up to 2026. As a pioneer in the tech industry, Nexus Horizon Labs is building the infrastructure for the next generation of artificial intelligence. You will be responsible for designing scalable, robust, and efficient machine learning systems that redefine industry standards.

In this role, you will bridge the gap between theoretical research and practical deployment, working with a world-class team to implement state-of-the-art models including Large Language Models (LLMs) and autonomous agents.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and infrastructure using cloud-native technologies.
  • Lead the research and implementation of novel AI algorithms aimed at the 2026 technology roadmap.
  • Optimize model performance, accuracy, and inference latency for real-time applications.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional product teams to integrate AI capabilities into customer-facing solutions.
  • Establish best practices for MLOps, data governance, and model security.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade AI models at scale.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse audiences.

Required Skills

Python PyTorch TensorFlow AWS Machine Learning Deep Learning MLOps Docker Kubernetes Natural Language Processing

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