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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - San Francisco, CA

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to shape the future of technology? Nexus Future Tech is looking for a visionary Senior AI Engineer to join our dynamic team in San Francisco. In this pivotal role, you will be at the forefront of developing cutting-edge artificial intelligence solutions that redefine industry standards.

We are not just building software; we are architecting the intelligence behind tomorrow's applications. You will work in a high-performance environment that encourages experimentation, values data-driven decisions, and rewards innovation. If you are passionate about transforming complex data into actionable insights and have a knack for scalable architecture, we want to hear from you.

Join us and contribute to projects that impact millions of users worldwide.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and deep learning architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define and drive technical strategies.
  • Optimize existing models for speed, accuracy, and scalability in production environments.
  • Build and maintain robust MLOps pipelines to ensure model reproducibility and continuous integration.
  • Conduct rigorous A/B testing, performance analysis, and model monitoring to ensure business KPIs are met.
  • Stay abreast of the latest advancements in AI research and integrate new methodologies into our tech stack.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • 5+ years of professional experience in machine learning or artificial intelligence engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
  • Proven track record of leading technical projects from conception to deployment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS MLOps Docker Kubernetes

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