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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect - San Francisco, CA - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Architect to lead our next-generation artificial intelligence initiatives. As we look toward the transformative landscape of 2026, you will define the technical strategy for our proprietary LLM platforms and predictive analytics engines. This is a unique opportunity to shape the future of technology at a company that is at the forefront of innovation.

Why Join Us?

  • Work on cutting-edge Generative AI and Quantum-ready infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art facilities in San Francisco.

If you are a thought leader passionate about pushing the boundaries of what's possible in 2026, we want to hear from you.

Responsibilities

  • Architect and design scalable machine learning pipelines and neural network architectures.
  • Lead the integration of Large Language Models (LLMs) into enterprise solutions.
  • Define MLOps strategies to ensure model reliability, monitoring, and deployment efficiency.
  • Collaborate with product managers and engineers to translate business requirements into technical AI roadmaps.
  • Conduct research on emerging AI trends to maintain a competitive edge.
  • Oversee data governance and ensure ethical AI practices are implemented.

Qualifications

  • Master’s or Ph.D. in Computer Science, Statistics, or a related technical field.
  • 8+ years of experience in machine learning engineering and AI architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying production-grade ML models.
  • Excellent communication skills and ability to mentor junior engineers.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Computing AWS GCP Docker Kubernetes San Francisco California Full Time

Ready to Take This Challenge?

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