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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join Nexus Future Systems, a cutting-edge technology firm pioneering the next generation of Artificial Intelligence. We are looking for a visionary Senior AI/ML Engineer to help define our roadmap for the year 2026 and beyond. In this role, you will bridge the gap between theoretical research and scalable production systems, driving innovation in Large Language Models (LLMs) and Generative AI.

You will work in a dynamic, fast-paced environment with a team of world-class researchers and engineers. If you are passionate about the future of technology and want to build systems that shape how humans interact with machines, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models, focusing on LLMs and predictive algorithms.
  • Lead the research and implementation of the 2026 product roadmap, ensuring technical feasibility and market relevance.
  • Optimize model inference and training pipelines to reduce latency and cost.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI, NLP, and MLOps to drive innovation.

Qualifications

  • Master’s or PhD degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering with a focus on Python and deep learning frameworks.
  • Extensive experience with TensorFlow, PyTorch, or JAX.
  • Proven track record of deploying models to production environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps, data pipelines, and cloud infrastructure.
  • Excellent problem-solving skills and ability to work in a highly collaborative agile environment.

Required Skills

Python PyTorch TensorFlow AWS MLOps Machine Learning Large Language Models Generative AI SQL Docker Kubernetes

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