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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Nexus Innovations
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligent systems?

Nexus Innovations is seeking a visionary Senior Artificial Intelligence Engineer to lead our cutting-edge research division. In this role, you will be at the forefront of developing next-generation machine learning models that drive our core product capabilities. If you thrive in a fast-paced, high-performance environment and possess a deep passion for AI ethics, scalability, and innovation, we want to hear from you.

We offer a competitive compensation package, equity options, and the opportunity to work with industry leaders in a culture that prioritizes creativity and technical excellence.

Responsibilities

  • Lead Model Development: Design, train, and deploy complex deep learning architectures using Python, TensorFlow, and PyTorch.
  • System Optimization: Oversee the end-to-end machine learning lifecycle, ensuring models are optimized for low latency and high throughput in production environments.
  • Research & Innovation: Conduct independent research to stay ahead of the curve in AI trends, publishing findings and contributing to internal patent applications.
  • Team Leadership: Mentor junior data scientists and engineers, conducting code reviews and fostering a collaborative knowledge-sharing culture.
  • Infrastructure Management: Collaborate with DevOps teams to integrate ML models into cloud infrastructure (AWS/GCP) ensuring robust scalability and security.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Experience: Minimum of 5+ years of professional experience in building and deploying production-grade AI/ML systems.
  • Technical Skills: Proficiency in Python, SQL, and experience with large-scale distributed computing frameworks (e.g., Spark, Hadoop).
  • Frameworks: Strong expertise in Deep Learning frameworks (TensorFlow, Keras, PyTorch) and NLP libraries (Hugging Face, spaCy).
  • Communication: Exceptional ability to translate complex technical concepts into actionable insights for non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS SQL NLP Cloud Computing Data Pipelines

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