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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Initiative

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the trajectory of artificial intelligence? Nebula Dynamics is seeking a visionary Senior AI Architect to spearhead our groundbreaking 2026 Initiative. In this pivotal role, you will not just build models; you will architect the foundational intelligence that powers the next era of autonomous systems.

We are a team of elite engineers and futurists committed to pushing the boundaries of what is possible. You will work in a high-performance environment, leveraging cutting-edge infrastructure to solve complex challenges. If you are passionate about the future and have a track record of excellence, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance AI and deep learning architectures for the 2026 Initiative.
  • Lead the research and development of novel algorithms to improve model accuracy and efficiency.
  • Oversee the end-to-end deployment of machine learning models into production environments.
  • Establish robust MLOps pipelines, ensuring scalability, monitoring, and reliability.
  • Mentor junior engineers and researchers, fostering a culture of technical excellence and innovation.
  • Collaborate with cross-functional teams to translate complex AI capabilities into user-centric products.
  • Conduct rigorous code reviews and architectural assessments to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software development, with 5+ years specifically in Machine Learning or Deep Learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud platforms (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Proven experience deploying large-scale ML systems in production.
  • Experience with data engineering and data governance best practices.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Machine Learning Deep Learning Distributed Systems MLOps AI Architecture

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