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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer: Project 2026 Lead

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the AI revolution, and we are looking for a visionary Senior AI Engineer to spearhead the development of Project 2026. This is a rare opportunity to build the foundational models that will define the next decade of intelligent systems. You will work in a high-performance environment where innovation is not just encouraged; it is required.

In this role, you will architect scalable neural networks, optimize deep learning algorithms, and deploy robust AI solutions that solve real-world problems. If you are passionate about the future of Artificial Intelligence and want to leave a lasting impact on the industry, we want to hear from you.

Responsibilities

  • Lead the architectural design and development of the Project 2026 AI core infrastructure.
  • Deploy and optimize scalable machine learning models to high-traffic production environments.
  • Conduct cutting-edge research to improve model accuracy, efficiency, and latency.
  • Collaborate with product managers and data scientists to define product requirements and technical roadmaps.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.
  • Ensure the security, ethical use, and scalability of all AI deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering and software development.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of delivering complex technical solutions in a fast-paced agile environment.

Required Skills

Python Machine Learning TensorFlow PyTorch NLP Deep Learning AWS Kubernetes Data Structures Algorithms

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