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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Architect - 2026 Vision

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

Job Description

Are you ready to define the technological landscape of 2026?

Nexus Future Labs is seeking a visionary Senior AI/ML Architect to spearhead our next generation of intelligent systems. We are building the core infrastructure for a future where Artificial Intelligence seamlessly integrates with human creativity. You will not just maintain systems; you will architect the roadmap for our 2026 product suite, ensuring scalability, security, and ethical AI implementation.

Why Join Us?

  • Work on cutting-edge Generative AI and LLM technologies.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Architect and deploy scalable machine learning models specifically designed for the 2026 ecosystem roadmap.
  • Optimize existing algorithms for high-performance inference on edge devices and cloud environments.
  • Collaborate with cross-functional teams to translate complex business requirements into technical AI solutions.
  • Lead code reviews and mentor junior engineers to maintain high standards of engineering excellence.
  • Implement rigorous testing and validation pipelines to ensure model accuracy and robustness.
  • Stay abreast of the latest advancements in AI research to drive innovation within the team.

Qualifications

  • Minimum of 5 years of professional experience in AI, Machine Learning, or Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing AWS Docker Kubernetes Agile

Ready to Take This Challenge?

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