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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - San Francisco, CA

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Technology with Nexus Innovations

We are seeking a visionary Senior AI/ML Engineer to lead our R&D efforts focused on the 2026 technological landscape. In this pivotal role, you will architect scalable machine learning systems and define the algorithms that will power our products for the next decade. If you are passionate about pushing the boundaries of what is possible in AI and want to be at the forefront of the 2026 niche, we want to hear from you.

At Nexus Innovations, we don't just predict trends; we engineer the future. You will work with a world-class team of data scientists and engineers to develop cutting-edge solutions that solve complex real-world problems.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and AI algorithms focused on long-term scalability and 2026 readiness.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
  • Optimize existing models for speed, accuracy, and efficiency, ensuring high performance in production environments.
  • Conduct rigorous research and experimentation with new technologies to stay ahead of industry standards.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Implement best practices for data governance, model monitoring, and MLOps pipelines.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with a proven track record of shipping production-ready models.
  • Strong proficiency in Python, TensorFlow, PyTorch, and scikit-learn.
  • Deep understanding of deep learning architectures, natural language processing (NLP), and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Docker Kubernetes NLP Computer Vision

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