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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join the Vanguard of Artificial Intelligence.

Nexus Future Systems is pioneering the next generation of generative AI and autonomous systems. As a Senior AI/ML Architect for our 2026 roadmap, you will define the architectural blueprints for the next decade of intelligent computing. We are looking for a visionary engineer who thrives on complexity and is passionate about building scalable, ethical, and transformative AI models.


Why Join Us?
We offer a competitive compensation package, equity packages, and the opportunity to work on projects that will define the future of human-machine interaction.

Responsibilities

  • Design and implement scalable machine learning infrastructure capable of processing petabytes of data.
  • Lead the research and development of proprietary generative models and large language models (LLMs).
  • Collaborate with cross-functional teams to integrate AI solutions into real-world products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure ethical AI practices and compliance with global data privacy regulations.
  • Optimize model performance for speed, accuracy, and resource efficiency.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of experience in AI/ML engineering, with a focus on deep learning.
  • Proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
  • Strong understanding of distributed computing systems and cloud architectures (AWS, GCP, or Azure).
  • Proven track record of deploying production-level machine learning models.
  • Experience with reinforcement learning and multi-agent systems is highly desirable.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Distributed Systems Linux CUDA Reinforcement Learning Natural Language Processing

Ready to Take This Challenge?

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