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Senior AI/ML Architect - 2026 Future Tech Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Architect to spearhead our proprietary 2026 Future Tech initiative. As we look toward the technological landscape of the next decade, we need an expert who can bridge the gap between theoretical AI research and scalable production systems. You will be responsible for deploying cutting-edge Large Language Models (LLMs) and generative AI solutions that redefine user interaction.

Why Join Nexus Future Labs?

  • Lead the charge in defining the tech stack for the year 2026 and beyond.
  • Competitive base salary and significant equity package.
  • Access to top-tier hardware and research data.

Responsibilities

  • Design and architect scalable ML pipelines capable of processing petabyte-scale data streams in real-time.
  • Lead the research and implementation of novel generative AI models, pushing the boundaries of current NLP capabilities.
  • Optimize model inference speed and reduce latency to ensure seamless user experiences.
  • Mentor junior engineers and foster a culture of innovation, technical excellence, and ethical AI development.
  • Collaborate closely with product and design teams to translate complex AI capabilities into intuitive user features.
  • Ensure rigorous data governance, security, and compliance standards are met across all AI deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning engineering or a related technical role.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of distributed computing systems, containerization (Kubernetes), and cloud infrastructure (AWS/Azure/GCP).
  • Strong background in Natural Language Processing (NLP) and deep learning architectures.
  • Proven track record of shipping production-grade AI products to market.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Kubernetes Distributed Systems AWS Azure Generative AI

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