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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

About Nexus Innovations

We are a leading force in artificial intelligence and machine learning, dedicated to revolutionizing how businesses interact with data. We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. You will play a pivotal role in architecting next-generation machine learning models that drive our core products and solve complex, real-world problems.

Why Join Us?

  • Work with state-of-the-art technology and proprietary datasets.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote and hybrid work options.
  • Career growth in a fast-paced, innovative environment.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and algorithms using Python, PyTorch, or TensorFlow.
  • Collaborate with data scientists and software engineers to integrate AI models into production environments (MLOps).
  • Optimize model performance, latency, and accuracy for real-time applications.
  • Conduct rigorous A/B testing and model validation to ensure robustness.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay abreast of the latest research in deep learning and implement cutting-edge techniques.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, SQL, and experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying models to production and managing the MLOps lifecycle.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

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

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