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Senior AI/ML Architect (2026 Vision)

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

Job Description

Nexus Future Systems is pioneering the next generation of artificial intelligence. As we prepare for our major rollout in 2026, we are seeking a visionary Senior AI/ML Architect to design the infrastructure that will define the future of human-computer interaction. If you are passionate about pushing the boundaries of Generative AI and building scalable, ethical systems, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that will shape the industry.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a vibrant San Francisco hub.
  • Access to cutting-edge hardware and research libraries.

Join us in architecting the intelligent systems of tomorrow.

Responsibilities

  • Design and implement scalable Machine Learning architectures for next-gen generative models.
  • Lead the research and development of novel algorithms to improve model accuracy and efficiency.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to integrate AI solutions into production environments.
  • Establish best practices for model deployment, monitoring, and MLOps pipelines.
  • Ensure ethical AI standards and data privacy compliance across all projects.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 8+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Expert knowledge of ML frameworks including PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying large-scale models to production.
  • Excellent communication skills and ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS GCP Kubernetes Docker MLOps Generative AI Data Science Algorithm Design

Ready to Take This Challenge?

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