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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
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you ready to shape the future of intelligent systems? Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead our Project 2026 initiative. In this high-impact role, you will architect cutting-edge artificial intelligence solutions designed to redefine industry standards for the next era of technology.

We are looking for a technical leader who not only masters current AI paradigms but also anticipates the breakthrough technologies of 2026, including advanced autonomous agents, next-generation neural interfaces, and scalable generative AI models.

Responsibilities

  • Architect and deploy scalable machine learning models capable of handling high-volume, real-time inference.
  • Pioneer research into emerging AI trends to ensure Project 2026 remains ahead of the technological curve.
  • Collaborate closely with product managers and software engineers to integrate AI solutions into core product ecosystems.
  • Optimize model performance, latency, and accuracy for production-grade environments.
  • Lead technical code reviews and mentor a team of junior data scientists and engineers.
  • Establish robust MLOps pipelines for model training, validation, and deployment.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-grade AI products to market.
  • Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Scikit-learn

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