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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 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow

Nexus Future Systems is pioneering the technological landscape for 2026 and beyond. We are seeking a visionary Senior AI/ML Engineer to lead our advanced research division. In this pivotal role, you will design and deploy autonomous intelligent agents and large-scale generative models that will define the next generation of human-computer interaction.

You will work in a highly collaborative environment, pushing the boundaries of what is possible with deep learning and neural architectures. This is not just a job; it is an opportunity to leave a permanent mark on the future of technology.

Responsibilities

  • Architect and implement scalable machine learning pipelines optimized for high-volume, low-latency environments.
  • Lead the research and development of proprietary AI models focused on generative capabilities and predictive analytics.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Ensure the ethical deployment of AI technologies, addressing bias and fairness in model training.
  • Stay ahead of the curve by benchmarking against the latest global industry standards and emerging technologies.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering, with a focus on deep learning frameworks.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of NLP (Natural Language Processing) and Computer Vision architectures.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to translate complex research papers into production-ready code.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes AI Architecture

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