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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect - 2026 Future Tech

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to shape the future of technology? Nexus Horizons is seeking a visionary Senior AI/ML Architect to lead our 2026 roadmap initiatives. We are building the next generation of artificial intelligence, focusing on Generative AI, Large Language Models (LLMs), and autonomous decision-making systems. If you are passionate about solving complex problems and have a keen eye for ethical AI deployment, this is your opportunity to join a team that is redefining the digital landscape.

In this role, you will not just write code; you will architect the systems that will power the world in 2026 and beyond.

Responsibilities

  • Architect and implement state-of-the-art Machine Learning pipelines for large-scale data processing.
  • Lead the research and development of Generative AI models, including fine-tuning LLMs for niche applications.
  • Design scalable neural network architectures optimized for edge computing environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Evaluate emerging technologies (e.g., Quantum AI, Neuromorphic computing) to integrate into our product roadmap.
  • Ensure all AI systems adhere to strict data privacy and ethical guidelines.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Keras.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying high-availability AI solutions in production environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Natural Language Processing Generative AI Cloud Computing MLOps Docker Kubernetes AWS GCP

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