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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Zenith Innovations
Seattle
Estimated Salary
USD 160.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead the next generation of intelligent systems at Zenith Innovations. In this pivotal role, you will architect scalable machine learning solutions that redefine user experiences. If you are passionate about pushing the boundaries of what's possible in Artificial Intelligence and want to build the future of 2026, we want to hear from you.

Our team thrives on innovation, collaboration, and technical excellence. As an AI Engineer, you will work closely with cross-functional squads to deploy cutting-edge models into production environments.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and neural networks for large-scale applications.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Optimize existing models for speed, accuracy, and efficiency in real-world environments.
  • Build and maintain robust data pipelines and infrastructure using cloud technologies.
  • Mentor junior engineers and conduct code reviews to ensure best practices in AI development.
  • Stay abreast of the latest research in NLP, Computer Vision, or Deep Learning to drive innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS Cloud Computing Docker Kubernetes Agile Data Science

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