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Senior AI Engineer - San Francisco, CA

Nexus AI Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 210.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

About Nexus AI Solutions

We are pioneering the next generation of artificial intelligence to solve complex global challenges. Our team is dedicated to developing scalable, ethical, and robust machine learning systems. We are looking for a visionary Senior AI Engineer to lead our research and deployment efforts in Generative AI and Natural Language Processing.

The Role

As a Senior AI Engineer at Nexus, you will be at the forefront of technical innovation. You will design, train, and deploy state-of-the-art deep learning models, collaborating with cross-functional teams to integrate AI solutions into our production ecosystem. You will also mentor junior engineers and contribute to the technical roadmap.

Responsibilities

  • Design, develop, and optimize large-scale machine learning models and deep neural networks.
  • Lead the end-to-end ML lifecycle, including data collection, preprocessing, training, evaluation, and deployment.
  • Implement MLOps pipelines using cloud-native technologies to ensure model scalability and reliability.
  • Collaborate with product managers and data scientists to define AI product requirements and features.
  • Stay abreast of the latest research in AI and NLP to apply cutting-edge techniques to our products.
  • Conduct rigorous code reviews and technical mentoring for the engineering team.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP concepts, transformers, and LLM architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

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

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