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Senior AI & Machine Learning Architect (2026 Vision)

Nexus Horizon Tech
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Architects of the Future

We are seeking a visionary Senior AI & Machine Learning Architect to lead the development of our proprietary models for the 2026 roadmap. At Nexus Horizon Tech, we don't just predict trends; we engineer them. You will be at the forefront of developing scalable AI solutions that redefine industry standards.

Why Join Us?

  • Impactful Work: Build systems that will power our products through 2026 and beyond.
  • State-of-the-Art Environment: Work with the latest frameworks and cloud infrastructure.
  • Competitive Compensation: Top-tier salary and equity packages for top-tier talent.

If you are passionate about pushing the boundaries of artificial intelligence and ready to lead a high-impact team, we want to hear from you.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and AI architectures focused on scalability and efficiency.
  • Lead the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model training and productionization.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to translate business requirements into technical solutions.
  • Optimize existing models for inference speed and resource utilization to support high-traffic applications.
  • Stay abreast of the latest research in Deep Learning and Natural Language Processing to implement cutting-edge techniques.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning, Data Science, or a similar role.
  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience designing MLOps pipelines and deploying models to production environments (AWS, GCP, or Azure).
  • Deep understanding of Deep Learning architectures (CNNs, RNNs, Transformers) and NLP.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch MLOps AWS GCP Deep Learning NLP SQL Machine Learning Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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