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Senior AI/ML Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the technological frontier for the year 2026. Nexus Future Labs is seeking a visionary Senior AI/ML Architect to lead the development of next-generation machine learning infrastructure. In this pivotal role, you will define the architecture for scalable AI systems, integrate cutting-edge Generative AI models, and ensure our solutions are future-proof for the evolving digital landscape. If you are passionate about building the intelligent systems of tomorrow, we want to hear from you.

Why Join Us?

  • Work on mission-critical projects that define industry standards.
  • Access to the latest hardware and research resources.
  • Competitive compensation and equity packages.
  • A culture of innovation and continuous learning.

Responsibilities

  • Architect and deploy high-performance Machine Learning models optimized for 2026 scalability requirements.
  • Lead the research and implementation of Large Language Models (LLMs) and Transformer architectures.
  • Collaborate with data scientists and product managers to translate business needs into technical AI solutions.
  • Establish robust MLOps pipelines for model training, validation, and deployment.
  • Ensure data security, privacy, and ethical AI practices across all deployments.
  • Conduct code reviews and mentor junior engineers to foster technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in machine learning engineering and software development.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of deep learning principles, neural networks, and optimization techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong background in distributed systems and high-concurrency environments.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning Deep Learning AWS GCP Kubernetes Large Language Models Generative AI

Ready to Take This Challenge?

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