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Senior AI/ML Architect - 2026 Vision

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Nexus Future Tech is pioneering the technological frontier, specifically targeting the breakthroughs expected by 2026. We are looking for a visionary Senior AI/ML Architect to lead the design and implementation of our next-generation artificial intelligence systems.


In this pivotal role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our AI models are scalable, secure, and transformative. You will be instrumental in shaping the roadmap that defines our products for the coming decade.


Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Models (LLMs).
  • Competitive equity package and performance bonuses.
  • Remote-first culture with global collaboration opportunities.
  • Access to the latest hardware and research tools.

Responsibilities

  • Architect and deploy scalable machine learning pipelines using Python and cloud infrastructure.
  • Lead research initiatives into Generative AI, Computer Vision, and predictive analytics.
  • Collaborate with product and engineering teams to integrate AI solutions into core product lines.
  • Optimize model inference latency and resource utilization in production environments.
  • Mentor junior data scientists and engineers to foster a culture of innovation.
  • Ensure data privacy, security, and ethical AI practices are upheld in all deployments.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • Minimum of 5+ years of experience in machine learning engineering or AI research.
  • Strong proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of Deep Learning architectures and NLP techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying models to production at scale.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Cloud Computing GenAI NLP MLOps Architecture

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