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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Systems, a leader in next-generation artificial intelligence, as our new Senior AI & Machine Learning Engineer. We are building the infrastructure that will power the digital landscape of 2026 and beyond. In this role, you will not just implement existing models; you will architect the future of how machines understand and interact with the world.

We are looking for a visionary engineer who thrives in ambiguity and loves the challenge of solving complex problems. You will work alongside world-class researchers and engineers to deploy cutting-edge solutions that have a tangible impact on millions of users.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models for large-scale applications.
  • Optimize inference pipelines to ensure low-latency performance in high-traffic environments.
  • Collaborate with product managers and data scientists to define technical requirements and roadmap.
  • Implement MLOps best practices to automate model training, evaluation, and deployment.
  • Conduct rigorous code reviews and contribute to the technical architecture of our AI platform.
  • Stay at the forefront of AI research and integrate new breakthroughs into our product suite.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related technical field.
  • 8+ years of experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Extensive experience with Large Language Models (LLMs) and Generative AI architectures.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud infrastructure (AWS, GCP) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow LLM NLP Machine Learning AWS MLOps Deep Learning

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