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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Architect (2026 Vision)

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

Job Description

We are seeking a visionary Senior AI & Machine Learning Architect to join Nexus Horizon Labs and define the technological landscape for 2026. In this role, you will spearhead the development of next-generation generative AI models, autonomous agents, and scalable neural architectures that power the future of enterprise intelligence.

Our mission is to engineer the 'AI of Tomorrow,' today. You will work in a cutting-edge environment focused on Large Language Models (LLMs), Multimodal AI, and Edge AI deployment. If you are passionate about pushing the boundaries of what is possible with artificial intelligence and want to leave a legacy in the tech world, we want to hear from you.

Responsibilities

  • Architect & Develop: Design and implement state-of-the-art deep learning models and generative AI frameworks for 2026-ready applications.
  • Model Optimization: Fine-tune and optimize large transformer models (e.g., GPT, Llama) for reduced latency and high accuracy.
  • Research & Innovation: Conduct cutting-edge research in NLP, Computer Vision, and Reinforcement Learning to stay ahead of industry trends.
  • System Integration: Integrate AI solutions into scalable cloud infrastructure and edge devices.
  • Leadership: Mentor a team of data scientists and ML engineers, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks.
  • Knowledge: Deep understanding of Transformers, Attention Mechanisms, and Generative Adversarial Networks (GANs).
  • Problem Solving: Strong analytical skills with the ability to solve complex algorithmic problems.

Required Skills

Python Machine Learning Deep Learning NLP LLMs PyTorch TensorFlow SQL Cloud Computing AI Architecture

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