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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the technological backbone for autonomous decision-making and predictive analytics, and we need a leader who thrives on complexity and innovation.

As a key architect of our AI ecosystem, you will bridge the gap between theoretical research and scalable production. If you are passionate about Generative AI, Large Language Models (LLMs), and deep learning, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models for high-scale production environments.
  • Collaborate with cross-functional teams of data scientists, backend engineers, and product managers to drive product innovation.
  • Optimize existing ML infrastructure to ensure 99.99% uptime and low-latency inference.
  • Research and implement cutting-edge algorithms in NLP and Computer Vision.
  • Conduct rigorous A/B testing and model evaluation to improve performance metrics and accuracy.
  • Mentor junior engineers and establish best practices for code quality, reproducibility, and MLOps.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of LLMs (Hugging Face, OpenAI APIs), RAG architectures, and MLOps pipelines.
  • Strong problem-solving skills and experience managing large, unstructured datasets.
  • Excellent communication skills and the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

AI Machine Learning Python Deep Learning NLP TensorFlow PyTorch MLOps San Francisco CA USA

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