Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Horizon)

Nebula Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the technological landscape of 2026. Nebula Horizon Technologies is seeking a visionary Senior AI/ML Architect to lead our initiative in building scalable, next-generation artificial intelligence systems. We are not just preparing for the future; we are architecting it.

In this role, you will define the architectural standards for our AI infrastructure, ensuring our models are resilient, intelligent, and ready for the demands of the year 2026. You will work at the intersection of deep learning, MLOps, and future-proofing, collaborating with world-class engineers to push the boundaries of what is possible.

Responsibilities

  • Design and deploy scalable machine learning pipelines and neural architectures aligned with the 2026 strategic roadmap.
  • Lead architectural decision-making for deep learning frameworks, focusing on PyTorch and TensorFlow.
  • Oversee the full lifecycle of AI model development, from research and prototyping to production deployment.
  • Implement advanced MLOps practices to ensure high availability, monitoring, and automated retraining of models.
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise-level applications.
  • Research and evaluate emerging technologies, including quantum computing concepts and edge AI, to enhance our long-term vision.
  • Establish best practices for data governance, AI ethics, and responsible innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in machine learning, deep learning, or data science.
  • Expert proficiency in Python, CUDA, and distributed computing systems.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of delivering large-scale, high-performance AI projects.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Cloud Computing AWS Docker Kubernetes NLP Data Science

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