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Senior AI/ML Architect (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Horizon AI as a Senior AI/ML Architect and help define the technological landscape for the year 2026 and beyond. We are a pioneer in autonomous systems and next-generation neural networks, seeking a visionary engineer to bridge the gap between theoretical research and scalable production infrastructure.

In this role, you will lead the design and deployment of cutting-edge artificial intelligence solutions that power our core platforms. You will work in a collaborative environment with world-class researchers and developers, pushing the boundaries of what is possible in deep learning and generative AI.

Why Join Us?

  • Work on projects that are shaping the future of human-computer interaction.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium San Francisco amenities.

Responsibilities

  • Architect and implement scalable machine learning pipelines and model deployment strategies.
  • Collaborate with data scientists and product teams to translate business requirements into technical AI solutions.
  • Optimize existing models for performance, latency, and cost efficiency.
  • Research and prototype emerging technologies relevant to the 2026 roadmap.
  • Mentor junior engineers and establish best practices for MLOps and code quality.
  • Ensure robust security and privacy standards are integrated into all AI systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning, deep learning, or data science.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps tools such as Kubeflow, MLflow, or Docker/Kubernetes.
  • Proven track record of deploying production-ready AI models.
  • Excellent communication skills and ability to work in cross-functional Agile teams.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Docker Kubernetes AWS GCP SQL NLP Computer Vision Agile Data Science

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