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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Shaping the Future (2026)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Nexus Horizon is pioneering the next generation of artificial intelligence, preparing for the technological landscape of 2026. We are seeking a visionary Senior AI/ML Engineer to lead our research and development division.

In this pivotal role, you will be responsible for architecting scalable machine learning systems that will define the user experience of tomorrow. You will work on cutting-edge projects ranging from generative AI to autonomous decision-making systems.

If you are passionate about pushing the boundaries of what is possible and want to build the infrastructure for the future, we want to hear from you.

Responsibilities

  • Design, train, and deploy complex machine learning models for production environments.
  • Collaborate with product managers and engineers to integrate AI solutions into core platforms.
  • Research and implement novel algorithms in Natural Language Processing (NLP) and Computer Vision.
  • Optimize existing models for improved latency, accuracy, and computational efficiency.
  • Establish and enforce best practices for code quality, testing, and MLOps pipelines.
  • Mentor junior engineers and conduct code reviews to foster technical growth.

Qualifications

  • Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with big data technologies (Spark, Hadoop) and distributed computing.
  • Excellent communication skills and the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Computer Vision AWS MLOps Docker Kubernetes Spark

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