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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Architect (2026 Vision)

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Architect the Future of Intelligence. Apex Innovations is leading the charge into the next era of technology. We are seeking a visionary AI/ML Architect to design the foundational systems that will power the year 2026 and beyond. This is not just a job; it is a mission to define the standard for artificial general intelligence in enterprise applications.

As a pivotal member of our R&D division, you will move beyond standard machine learning to pioneer next-generation neural architectures. You will work in a high-performance environment where theoretical breakthroughs meet production-grade scalability.

Responsibilities

  • Design Next-Gen Neural Architectures: Architect scalable, fault-tolerant deep learning models capable of processing petabyte-scale data streams in real-time.
  • Pioneer Emerging Tech: Lead research and implementation of cutting-edge technologies, including Generative AI, Reinforcement Learning, and Autonomous Agents.
  • Optimize Performance: Drive model optimization and quantization strategies to ensure high inference speeds on edge devices and cloud infrastructure.
  • Mentorship & Strategy: Guide a team of top-tier data scientists and engineers, establishing technical standards and fostering a culture of innovation.
  • Ethical AI Compliance: Implement robust bias detection and fairness protocols to ensure responsible AI deployment.
  • System Integration: Collaborate with software engineers to integrate complex AI models into seamless user experiences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in designing and deploying large-scale machine learning systems in a production environment.
  • Core Tech Stack: Deep proficiency in Python, PyTorch, TensorFlow, and C++.
  • Specialized Knowledge: Expertise in Deep Learning, NLP, Computer Vision, or Reinforcement Learning.
  • Infrastructure: Strong experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS, GCP, Azure).
  • Soft Skills: Exceptional problem-solving abilities and the ability to translate complex AI concepts into strategic business value.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Kubernetes AWS Reinforcement Learning

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