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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to engineer the next generation of intelligent solutions? Nexus Innovations is seeking a visionary Senior AI/ML Engineer to join our elite team in San Francisco. We are building the future of predictive analytics and autonomous systems, and we need a technical leader to drive our core model architecture.


In this role, you will be at the forefront of innovation, designing and deploying scalable machine learning models that drive real-world impact. You will work in a collaborative environment that values creativity, technical excellence, and rapid iteration.

Responsibilities

  • Design, train, and deploy advanced machine learning and deep learning models.
  • Collaborate with data scientists and product managers to define AI requirements and success metrics.
  • Optimize algorithms for speed and scalability in high-volume environments.
  • Implement MLOps pipelines to ensure model reliability, monitoring, and automated retraining.
  • Conduct code reviews and mentor junior engineering talent to foster a culture of engineering excellence.
  • Stay current with the latest research in AI and apply cutting-edge techniques to our products.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a fast-paced startup environment.
  • Proficiency in Python, PyTorch, or TensorFlow with a deep understanding of neural network architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of distributed systems, data structures, and software engineering best practices.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes MLOps Natural Language Processing Computer Vision

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