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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer: Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join the Vanguard of the Future. Nexus Future Systems is looking for a visionary Senior AI/ML Engineer to lead the development of Project 2026. In this pivotal role, you will architect scalable machine learning models and neural networks that redefine industry standards for the year ahead. You will work in a cutting-edge environment focused on ethical AI, quantum computing integration, and autonomous systems.

Why Nexus? We are not just building software; we are engineering the future. We offer a competitive benefits package, remote-first flexibility, and the opportunity to work on projects that will shape the next decade of technology.

Responsibilities

  • Design and implement robust, scalable, and efficient machine learning algorithms and models.
  • Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to translate business requirements into technical solutions.
  • Optimize existing machine learning pipelines for performance, latency, and accuracy.
  • Research and integrate the latest advancements in AI, deep learning, and natural language processing.
  • Mentor junior engineers and conduct code reviews to ensure best practices and technical excellence.
  • Deploy models to production environments using containerization and orchestration tools.

Qualifications

  • PhD or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning engineering, data science, or software development.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong understanding of deep learning architectures and training strategies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies (Spark, Hadoop).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS GCP Agile Kubernetes

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