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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to build the technologies that will define the year 2026 and beyond? Nexus Horizon Solutions is seeking a visionary Senior AI/ML Engineer to lead our cutting-edge research division. In this role, you won't just be optimizing existing algorithms; you will be architecting the future of generative AI, autonomous systems, and ethical machine intelligence. If you thrive on solving complex problems at the intersection of code and cognition, we want to meet you.

As a pioneer in the tech space, we offer a competitive compensation package, equity packages, and the opportunity to work in a fully remote-first environment with high-trust culture.

Why Join Us?

  • Work on projects that are shaping the next decade of technology.
  • Competitive salary and performance bonuses.
  • Flexible working hours and remote-first policy.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models and neural networks.
  • Lead the research and development of Generative AI solutions for enterprise applications.
  • Optimize model inference for low-latency, high-volume environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers.
  • Establish best practices for MLOps, data governance, and ethical AI usage.
  • Mentor junior engineers and conduct code reviews to ensure technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering with a strong portfolio of deployed models.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Deep Learning architectures, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

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

Ready to Take This Challenge?

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