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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
7 Juli 2026
Deadline
7 Jul 2027

Job Description

We are looking for a visionary Senior AI/ML Engineer to lead our initiatives for the 2026 roadmap. Join a team building the next generation of generative intelligence and scalable neural architectures. You will be instrumental in defining how our technology adapts to the evolving landscape of artificial general intelligence.

Why Join Us?
We are a forward-thinking organization committed to the future of technology. You will have the autonomy to experiment, the resources to innovate, and the opportunity to work on problems that define the industry.

Responsibilities

  • Architect and deploy advanced machine learning models, focusing on Generative AI and Large Language Models (LLMs).
  • Optimize inference pipelines for high-volume production environments to ensure sub-millisecond latency.
  • Conduct cutting-edge research on novel neural architectures and fine-tuning methodologies.
  • Collaborate with cross-functional product teams to translate business goals into technical AI solutions.
  • Implement and maintain robust MLOps pipelines and data governance frameworks.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Stay ahead of industry trends, specifically regarding the trajectory of AI in 2026 and beyond.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with a deep focus on Deep Learning and NLP.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven experience deploying production-ready models that scale to millions of requests.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts clearly.
  • Passion for the future of technology and the ethical implications of AI development.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps AWS Kubernetes Generative AI LLMs

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