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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Visionary)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are building the intelligence infrastructure for the year 2026. Nexus Future Systems is seeking a visionary Senior AI/ML Engineer to lead the development of next-generation generative AI models and autonomous systems. If you thrive on solving complex, large-scale problems and want to shape the future of human-machine interaction, this is your opportunity.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are scalable, ethical, and transformative.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines using Python, TensorFlow, and PyTorch.
  • Lead the research and implementation of cutting-edge Generative AI and Large Language Model (LLM) architectures.
  • Optimize model inference for low-latency, high-throughput environments.
  • Collaborate with cross-functional teams of data scientists, product managers, and security experts to define AI roadmaps.
  • Ensure data privacy, ethical AI compliance, and robustness in production systems.
  • Mentor junior engineers and establish best practices for MLOps and model governance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch, JAX) and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying production-level models with high accuracy and performance.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS MLOps NLP GenAI Machine Learning Deep Learning CUDA Docker Kubernetes

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