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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Visionary)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are at the forefront of the 2026 technological revolution, building the intelligent systems that will define the next decade. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our research and development in Generative AI and Autonomous Agents.

In this pivotal role, you will not just implement existing solutions; you will architect the future. You will work on cutting-edge models, optimize large-scale inference, and ensure our AI systems are ethical, scalable, and transformative.

Why Join Us?

  • Work on projects that have a global impact.
  • Competitive compensation package with equity options.
  • State-of-the-art hardware and cloud infrastructure.
  • Flexible working environment in the heart of San Francisco.

Responsibilities

  • Design, develop, and deploy advanced machine learning models tailored for the 2026 technological landscape.
  • Lead the architecture of scalable AI pipelines for data processing and model training.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Collaborate with cross-functional teams including product managers, data scientists, and software engineers.
  • Ensure compliance with ethical AI guidelines and data privacy regulations (GDPR/CCPA).
  • Stay ahead of industry trends to integrate emerging technologies into our core stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Large Language Models (LLMs) and fine-tuning techniques.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow).
  • Proven track record of deploying production-ready AI models.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes Docker LLMs Natural Language Processing AWS GCP

Ready to Take This Challenge?

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