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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (Generative AI Focus)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on the forefront of innovation. Nexus Future Technologies is seeking a visionary Senior AI/ML Engineer to architect the next generation of intelligent systems. In this pivotal role, you will drive the development of large-scale generative AI models and neural networks that redefine user interaction.


If you are passionate about pushing the boundaries of what is possible with Machine Learning and want to work in a culture that prioritizes cutting-edge technology and high-impact solutions, we want to hear from you.

Responsibilities

  • Design, train, and deploy scalable Machine Learning models and Generative AI pipelines using Python and modern deep learning frameworks.
  • Collaborate with cross-functional product teams to translate complex business requirements into technical AI solutions.
  • Optimize model inference latency and memory usage to ensure high-performance applications in production environments.
  • Research and implement state-of-the-art algorithms to improve model accuracy and robustness.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Ensure data privacy, security, and ethical AI practices are maintained throughout the development lifecycle.

Qualifications

  • Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s or PhD preferred).
  • Minimum of 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with NLP, LLMs, or Computer Vision architectures.
  • Deep understanding of distributed computing, cloud platforms (AWS/GCP/Azure), and MLOps practices.
  • Proven track record of shipping production-grade AI applications.

Required Skills

Python PyTorch TensorFlow AWS GCP NLP LLMs MLOps Deep Learning Machine Learning

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