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Senior AI/ML Architect | Shaping the Future (2026)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Vanguard of Artificial Intelligence

Are you ready to architect the systems that will define the next decade? At Apex Horizon Technologies, we are not just preparing for 2026; we are building it. We are seeking a visionary Senior AI/ML Architect to spearhead our research and development in Generative AI and Autonomous Systems.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade software solutions. You will work alongside a team of elite engineers to solve complex, real-world problems that push the boundaries of what is possible in the year ahead.

Why You'll Thrive Here:

  • Impactful Work: Your code will directly influence the future of intelligent automation.
  • Future-Ready: We are prioritizing long-term technologies for the 2026 roadmap.
  • Elite Team: Collaborate with industry leaders in deep learning and neural networks.

Responsibilities

  • Design and deploy scalable deep learning architectures capable of handling petabyte-scale datasets.
  • Lead the research and implementation of next-generation Natural Language Processing (NLP) models tailored for enterprise integration.
  • Optimize existing ML pipelines to improve inference speed and reduce latency by 40%.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate with product managers to define AI feature roadmaps aligned with the 2026 strategic vision.
  • Ensure model robustness, interpretability, and adherence to ethical AI standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong background in Large Language Models (LLMs), Transformers, and Reinforcement Learning.
  • Experience deploying models to production environments using AWS, GCP, or Azure.
  • Demonstrated ability to translate complex technical concepts into clear, actionable business strategies.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP LLMs AWS GCP Docker Kubernetes AI Ethics Data Science

Ready to Take This Challenge?

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

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