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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect (Future Tech)

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

Job Description

We are seeking a visionary Senior AI & Machine Learning Architect to help define the technological landscape of 2026. In a world rapidly evolving with artificial intelligence, we need a leader who can bridge the gap between theoretical innovation and practical application. You will be instrumental in building the core infrastructure for our next-generation products, focusing on scalable, ethical, and transformative AI systems.

Why Nexus Horizon?

  • Future-Ready Environment: Work on projects that are shaping the industry standards for 2026 and beyond.
  • Competitive Compensation: A generous salary range reflecting your expertise and impact.
  • Equity & Benefits: Comprehensive health, dental, vision, and stock options.

Responsibilities

  • Architect and deploy robust machine learning pipelines designed for the high-scale infrastructure of the future.
  • Lead R&D initiatives in Generative AI, Large Language Models (LLMs), and Agentic workflows.
  • Collaborate with cross-functional teams to translate futuristic concepts into production-ready software.
  • Establish and enforce best practices for ethical AI, data governance, and bias mitigation.
  • Oversee the lifecycle of data models from prototype to deployment.
  • Mentor senior and junior engineers, fostering a culture of technical excellence and innovation.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills with a proven track record of delivering high-impact AI products.

Required Skills

Python Machine Learning Artificial Intelligence Deep Learning NLP Cloud Computing PyTorch TensorFlow Docker Kubernetes AWS GCP

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