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Senior AI/ML Engineer (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Architects of Tomorrow

Nexus Horizon is at the forefront of defining the technological landscape for 2026. We are seeking a visionary Senior AI/ML Engineer to spearhead our next-generation generative AI and autonomous systems initiatives. This is a rare opportunity to work on projects that will set industry standards for the coming decade.

Why You’ll Love It Here:

  • Future-Ready Impact: Build algorithms that are scalable, ethical, and ready for the high-volume demands of 2026.
  • World-Class Team: Collaborate with industry leaders in Deep Learning, NLP, and Reinforcement Learning.
  • Unlimited Growth: Access to advanced R&D resources and continuous learning opportunities.

Our mission is to bridge the gap between theoretical AI and practical, high-impact applications. If you are passionate about the future of technology, we want to meet you.

Responsibilities

  • Architect and deploy scalable Machine Learning models with a focus on Generative AI and LLMs.
  • Optimize existing neural networks for speed, accuracy, and energy efficiency.
  • Lead the end-to-end MLOps pipeline, from data ingestion to model serving.
  • Conduct cutting-edge research to prototype novel AI techniques.
  • Mentor junior engineers and foster a culture of technical excellence.
  • Ensure data privacy and ethical AI compliance in all model deployments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in AI/ML engineering with a strong portfolio of shipped products.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong background in Natural Language Processing (NLP) and Computer Vision.
  • Exceptional problem-solving skills and ability to thrive in fast-paced environments.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps NLP Machine Learning Deep Learning Generative AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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