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Information Technology 🏒 Full Time ⭐️ Verified

AI & Machine Learning Architect 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

The Future is Now. Nexus Horizon Systems is pioneering the next generation of intelligent infrastructure. We are seeking a visionary AI & Machine Learning Architect 2026 to lead our initiative in developing autonomous, scalable, and ethically-aligned AI ecosystems. If you are obsessed with pushing the boundaries of what is possible in artificial intelligence and are looking for a role that defines the technology of tomorrow, we want to meet you.

Why Join Us?

  • Impact: Architect the core intelligence behind products used by millions.
  • Autonomy: Work in a remote-first culture with high autonomy.
  • Growth: Competitive equity package and continuous learning budget.

We are looking for a technical leader who doesn't just write code, but designs the very fabric of future computing.

Responsibilities

  • Architect Next-Gen AI: Design and implement scalable machine learning infrastructure and deep learning models tailored for 2026-era computational demands.
  • Model Optimization: Lead research into efficient neural network architectures and edge computing deployment strategies.
  • Ethical AI Governance: Establish frameworks for bias detection, transparency, and safety in automated decision-making systems.
  • System Integration: Integrate disparate AI modules into cohesive, real-time data pipelines using modern cloud-native technologies.
  • Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 3 years in specialized AI/ML architecture roles.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Education: BS in Computer Science, Mathematics, or a related technical field (Master’s preferred).
  • Problem Solving: Proven track record of solving complex, unstructured problems in large-scale environments.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage technical roadmaps.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Kubernetes Docker Cloud Architecture Neural Networks Big Data Agile Methodologies

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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