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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

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

Job Description

We are pioneering the next generation of intelligent systems at Nexus Horizon Technologies. As a leader in the Artificial Intelligence sector, we are looking for a visionary Senior AI Engineer to join our elite R&D team. If you are passionate about pushing the boundaries of what's possible with Large Language Models and Computer Vision, this is your opportunity to shape the future.

Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive equity and comprehensive benefits package.
  • Flexible remote-first culture with quarterly in-person team retreats.

Ready to engineer the impossible? Apply today and become a part of our revolution.

Responsibilities

  • Design, train, and fine-tune advanced machine learning models using PyTorch and TensorFlow.
  • Deploy scalable AI solutions to production environments using Kubernetes and Docker.
  • Collaborate with cross-functional teams including data scientists, product managers, and engineers.
  • Conduct rigorous A/B testing and model performance analysis to drive continuous improvement.
  • Stay abreast of the latest research in Deep Learning and implement cutting-edge techniques.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, SQL, and modern deep learning frameworks.
  • Proven experience with Natural Language Processing (NLP) or Computer Vision projects.
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps pipelines.
  • Excellent problem-solving skills and ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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

Apply Now

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