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Senior AI/ML Architect (2026 Vision)

FutureScale Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are pioneering the next generation of intelligent systems for the 2026 era. At FutureScale Technologies, we are seeking a visionary Senior AI/ML Architect to lead the development of scalable, autonomous machine learning solutions. You will define the technical roadmap that integrates cutting-edge Large Language Models (LLMs) with real-time data processing pipelines.

In this role, you won't just implement existing models; you will architect the future of AI, ensuring our systems are robust, ethical, and capable of handling the demands of the 2026 tech landscape. Join a team of elite engineers and data scientists dedicated to pushing the boundaries of what is possible.

Key Benefits:

  • Competitive equity package and performance bonuses.
  • Unlimited PTO and flexible remote-first culture.
  • Top-tier health, dental, and vision insurance.
  • Access to the latest hardware for AI research.

Responsibilities

  • Design and deploy end-to-end machine learning architectures that align with the 2026 strategic roadmap.
  • Lead the research and implementation of state-of-the-art neural networks and deep learning models.
  • Optimize model inference for low-latency, high-throughput environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate with product teams to translate business requirements into technical AI solutions.
  • Ensure data privacy, security, and compliance in all AI implementations.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience with MLOps, CI/CD, and cloud platforms (AWS, GCP, or Azure).
  • Strong background in Natural Language Processing (NLP) or Computer Vision.
  • Demonstrated ability to lead complex technical projects from conception to production.

Required Skills

Python Machine Learning Deep Learning NLP MLOps Cloud Computing TensorFlow PyTorch AWS GCP AI Architecture

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