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Information Technology 🏒 Full Time ⭐️ Verified

AI Architect | Future Tech | San Francisco, CA

Apex Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At Apex Dynamics, we aren't just building software; we are architecting the future. As we look toward the technological landscape of 2026, we are seeking a visionary AI Architect to lead our next generation of intelligent systems. You will be at the forefront of the AI revolution, designing scalable, ethical, and high-performance machine learning models that will redefine industry standards.

We are looking for a thought leader who thrives in ambiguity and has a passion for pushing the boundaries of what is possible with Artificial Intelligence. If you want to build the infrastructure that powers the next decade of innovation, we want to meet you.

Responsibilities

  • Architect and deploy scalable Machine Learning and Deep Learning infrastructure designed for future demands.
  • Lead the design of Large Language Models (LLMs) and Natural Language Processing (NLP) pipelines.
  • Optimize model inference latency and resource efficiency to support high-traffic production environments.
  • Establish best practices for MLOps, ensuring robust model monitoring and automated retraining workflows.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 7+ years of professional experience in Machine Learning Engineering, AI Research, or Data Science.
  • Expert proficiency in Python, PyTorch, and TensorFlow frameworks.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of MLOps principles, model governance, and AI ethics.

Required Skills

Machine Learning Python PyTorch TensorFlow Deep Learning NLP Cloud Architecture MLOps AWS Kubernetes

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