Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect: 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior AI/ML Architect to lead the 2026 Horizon Initiative. Nexus Future Systems is pioneering the next generation of adaptive artificial intelligence, and you will be at the forefront of designing the neural architectures that will define the decade ahead. If you thrive in ambiguity and want to build the future of intelligent systems, we want to meet you.

Our Mission

We are not just building software; we are engineering the fabric of tomorrow's digital reality. The 2026 Initiative focuses on creating self-evolving algorithms capable of solving complex, real-world problems with zero latency. You will work alongside world-class researchers and engineers to deploy scalable, robust, and ethical AI solutions.

Responsibilities

  • Architect and implement next-generation deep learning models tailored for the 2026 Horizon roadmap.
  • Lead the design of scalable distributed systems to handle petabyte-scale data streams in real-time.
  • Mentor a team of junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Optimize existing neural network architectures to reduce inference costs by 40%.
  • Collaborate with cross-functional product teams to translate complex AI concepts into deployable features.
  • Ensure all AI systems adhere to strict ethical guidelines and bias mitigation protocols.
  • Conduct cutting-edge research to stay ahead of the curve in generative AI and reinforcement learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in Machine Learning, Deep Learning, or Artificial Intelligence engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Proven experience deploying large-scale ML models in production environments (AWS, GCP, or Azure).
  • Strong background in distributed computing, cloud infrastructure, and MLOps pipelines.
  • Demonstrated ability to lead technical strategy and architectural decision-making.
  • Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Kubernetes MLOps Distributed Systems Neural Networks

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All