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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Future Labs is seeking a visionary Senior AI/ML Architect to lead our next-generation research initiatives. In this pivotal role, you will design scalable, self-improving neural networks that set the industry standard for the coming decade.

We are looking for a pioneer who thrives on ambiguity and possesses the technical grit to turn abstract concepts into production-ready AI systems. Join us in building the intelligent infrastructure of tomorrow.

Responsibilities

  • Architect and deploy cutting-edge Large Language Models (LLMs) tailored for enterprise scalability.
  • Lead the research and implementation of Quantum-ML algorithms to solve complex optimization problems.
  • Collaborate with cross-functional product teams to translate business goals into technical AI roadmaps.
  • Optimize model inference latency and reduce computational costs through advanced pruning and quantization techniques.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure the ethical deployment of AI, adhering to strict data privacy and bias mitigation standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in designing and deploying production-grade machine learning systems.
  • Expert proficiency in Python, PyTorch, and TensorFlow frameworks.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision methodologies.
  • Proven track record of leading complex technical projects from conception to deployment.
  • Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Artificial Intelligence NLP LLMs Cloud Computing Docker Kubernetes

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