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AI/ML Architect (2026 Horizon)

FutureScale Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary AI/ML Architect (2026 Horizon) to lead our next-generation artificial intelligence initiatives. As we prepare for the technological leap of 2026, you will be at the forefront of designing scalable neural networks and generative AI systems that will redefine industry standards. This role requires a deep understanding of future-proof technologies and the ability to translate complex data science concepts into robust, production-ready software.

Why Join Us?
β€’ Work on cutting-edge projects that shape the future of technology.
β€’ Competitive salary and equity package.
β€’ Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Design and implement scalable machine learning architectures for next-generation AI applications.
  • Lead the research, development, and deployment of Large Language Models (LLMs) and Generative AI tools.
  • Optimize neural network performance for high-velocity, low-latency environments.
  • Collaborate with product and engineering teams to integrate AI capabilities into core platforms.
  • Establish best practices for data governance, security, and ethical AI usage.
  • Mentor junior data scientists and engineers to foster a culture of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Proven ability to lead cross-functional teams in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch AWS GCP Docker Kubernetes NLP Machine Learning Deep Learning AI Architecture

Ready to Take This Challenge?

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