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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our next-generation projects. As we prepare for the 2026 horizon, we are building the AI infrastructure that will define the next decade of human-machine interaction.

In this pivotal role, you will design, train, and deploy cutting-edge Large Language Models (LLMs) and generative AI solutions. You will work at the intersection of research and production, ensuring our AI is not only powerful but ethical, scalable, and secure.

Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on projects that will impact billions of users globally. If you are passionate about the future of technology and want to build the AI of tomorrow, apply today.

Responsibilities

  • Design and implement scalable machine learning pipelines and architectures for real-time AI applications.
  • Lead the research and development of Large Language Models (LLMs), fine-tuning models for specific domain applications.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define AI roadmaps.
  • Optimize model inference for low-latency, high-throughput environments.
  • Ensure data privacy, security, and ethical AI compliance across all projects.
  • Stay ahead of the curve on emerging AI trends and integrate them into our technology stack.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning and NLP.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps, CI/CD, and cloud infrastructure (AWS/GCP/Azure).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning AI NLP LLM PyTorch TensorFlow AWS MLOps Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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