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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer (2026 Roadmap)

Nexus 2026 Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Future of Intelligence

Nexus 2026 Innovations is pioneering the next generation of autonomous systems. We are seeking a visionary Senior AI Engineer to lead the architecture and deployment of our flagship 2026 platform. If you are passionate about the intersection of deep learning, scalable cloud infrastructure, and futuristic problem-solving, we want to hear from you.

In this role, you will not just write code; you will define the computational backbone for the next decade of AI applications. You will work in a high-performance environment that values innovation, speed, and precision.

Responsibilities

  • Architect and deploy scalable deep learning models tailored for the 2026 platform ecosystem.
  • Optimize neural network performance and reduce inference latency across distributed systems.
  • Collaborate with cross-functional teams to integrate AI capabilities into user-facing products.
  • Maintain and improve the MLOps pipeline, ensuring seamless CI/CD for model updates.
  • Research and prototype cutting-edge algorithms to stay ahead of the 2026 technology curve.
  • Provide technical mentorship to junior engineers and establish coding best practices.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
  • 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Deep expertise in Python, PyTorch, TensorFlow, and major cloud providers (AWS/GCP/Azure).
  • Strong understanding of MLOps, Docker, Kubernetes, and CI/CD workflows.
  • Experience with Large Language Models (LLMs) and Generative AI architectures.
  • Excellent problem-solving skills and the ability to work in a fast-paced, startup environment.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Docker MLOps Machine Learning Deep Learning NLP SQL Agile

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