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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

NovaAI Technologies
San Francisco, CA
Salary Estimate
USD 140.000 – USD 190.000
Posting Time
8 Mei 2026
Deadline
8 Mei 2027

Job description

NovaAI Technologies is advancing the frontiers of artificial intelligence. We are seeking a Senior AI Engineer to join our San Francisco team and help design and deploy production-grade AI systems that scale.

In this role, you will collaborate with researchers, data scientists, and platform engineers to translate cutting-edge research into robust, deployable solutions that impact customers worldwide.

We offer a competitive compensation package, comprehensive benefits, and a culture that values curiosity, collaboration, and ethical AI.

Responsibility

  • Design, implement, and optimize end-to-end AI systems (machine learning models, NLP, computer vision) in production.
  • Collaborate with researchers to translate novel ideas into scalable, maintainable code and infrastructure.
  • Develop data pipelines and MLOps workflows for model training, validation, deployment, and monitoring.
  • Monitor model performance, detect drift, and iterate to improve accuracy, reliability, and safety.
  • Mentor junior engineers, participate in code reviews, and contribute to best practices and documentation.
  • Partner with product and customer teams to align AI solutions with business goals and user needs.
  • Ensure compliance with security, privacy, and ethical AI guidelines across projects.

Qualification

  • B.S./M.S./Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field.
  • 5+ years of hands-on experience building production AI systems at scale.
  • Deep expertise in Python and ML frameworks (PyTorch, TensorFlow) and ML lifecycle tooling.
  • Strong background in NLP, computer vision, or multi-modal modeling.
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps tooling (Kubernetes, Docker, CI/CD).
  • Proven track record deploying models to production with monitoring, drift detection, and A/B testing.
  • Excellent communication, collaboration, and problem-solving skills, with a user-centric mindset.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision ML Ops AWS GCP Azure data pipelines model deployment Kubernetes Docker Git

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