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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Architect - Future-Ready Tech

Nexus 2026
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Welcome to Nexus 2026, where the boundaries of technology are being rewritten. We are on a mission to pioneer the next era of intelligent systems and are seeking a visionary Senior AI/ML Architect to lead our advanced research and deployment initiatives. If you are driven by the challenge of building scalable, ethical, and groundbreaking AI solutions, this is the platform for you.

As a technical leader, you will not just write code; you will define the architecture of the future, ensuring our systems are resilient, adaptive, and ready for the demands of a rapidly evolving digital landscape.

Responsibilities

  • Lead the design and implementation of end-to-end machine learning pipelines and generative AI frameworks.
  • Optimize deep learning models for high-scale inference, ensuring low latency and high throughput.
  • Collaborate with product and engineering teams to integrate AI capabilities into user-facing applications.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stay abreast of the latest research in NLP, Computer Vision, and Reinforcement Learning to drive innovation.
  • Ensure compliance with data privacy regulations and ethical AI guidelines.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of experience in AI/ML engineering, with a strong focus on LLMs and Generative AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Extensive experience with MLOps (MLflow, Kubeflow, Docker, Kubernetes) and cloud infrastructure (AWS/GCP).
  • Proven track record of deploying production-grade models that solve real-world problems.
  • Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps AWS Machine Learning Deep Learning NLP Leadership

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