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Information Technology 🏒 Full Time ⭐️ Verified

AI & Machine Learning Architect (2026 Vision)

NovaTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence

We are looking for a visionary AI & Machine Learning Architect to lead the development of next-generation artificial intelligence systems. As we prepare for the technological landscape of 2026, you will be responsible for architecting scalable, robust, and ethical AI solutions that drive our core business forward.

Why This Role?

  • Impactful Work: Build the algorithms that will power the future of digital interaction.
  • Future-Ready: Work with the latest in Generative AI, Large Language Models (LLMs), and predictive analytics.
  • Leadership: Mentor a team of top-tier data scientists and engineers.

If you are passionate about pushing the boundaries of what is possible in 2026, we want to hear from you.

Responsibilities

  • Design and implement end-to-end machine learning architectures tailored for 2026 scalability.
  • Lead the research and deployment of state-of-the-art Deep Learning and NLP models.
  • Oversee the MLOps pipeline, ensuring model reliability, versioning, and automated retraining.
  • Collaborate with product management and engineering to define AI product requirements and roadmaps.
  • Ensure ethical AI practices, including bias mitigation and data governance frameworks.
  • Evaluate emerging technologies and integrate them into our technology stack.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in machine learning engineering, data science, or AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of MLOps, CI/CD, and data pipeline architecture.
  • Experience with Large Language Models (GPT, LLaMA) and fine-tuning methodologies.

Required Skills

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

Ready to Take This Challenge?

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

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