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Information Technology 🏢 Full Time ⭐️ Verified

AI & Machine Learning Architect (2026 Vision)

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

Job Description

We are seeking a visionary AI & Machine Learning Architect to spearhead the development of next-generation agentic AI systems. As we look toward the future, our team is building the infrastructure that will define the landscape of 2026 and beyond. You will be responsible for designing scalable machine learning pipelines, optimizing large language models (LLMs), and ensuring ethical AI implementation across our global platforms.


Why Join Us?

  • Work on cutting-edge technology that shapes the future of human-computer interaction.
  • Competitive compensation package including equity.
  • Flexible remote-first policy with quarterly team retreats.
  • Access to the latest hardware for AI research and development.

Responsibilities

  • Architect and deploy high-performance machine learning models and neural networks to support real-time applications.
  • Lead the design of scalable data pipelines and MLOps infrastructure to handle petabytes of data.
  • Collaborate with cross-functional teams to integrate AI capabilities into product roadmaps.
  • Research and implement the latest advancements in Generative AI and predictive analytics.
  • Ensure data privacy, security, and ethical compliance in all AI models.
  • Mentor junior engineers and data scientists on best practices in deep learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar frameworks.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Docker Kubernetes Agentic AI

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