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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

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

Job Description

We are on the precipice of a technological revolution, and we need a visionary AI/ML Engineer to help us build the future. At Nexus Horizon, we are developing next-generation intelligent systems designed to solve the complex challenges of the modern world. This role is not just about coding; it is about architecting the neural architectures that will define the 2026 era of computing. If you are passionate about pushing the boundaries of artificial intelligence and want to work with a world-class team of data scientists and engineers, we want to hear from you.

You will be responsible for the full lifecycle of machine learning models, from conceptualization to deployment at scale. We value deep technical expertise, creative problem-solving, and a relentless drive for innovation.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and deep neural networks.
  • Optimize existing models for speed, accuracy, and scalability in high-traffic production environments.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Perform rigorous data analysis and feature engineering to drive model performance.
  • Stay abreast of the latest research in AI, NLP, and Computer Vision to implement state-of-the-art techniques.
  • Ensure ethical AI practices and model fairness across all deployed systems.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of data structures, algorithms, and software engineering best practices.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP Computer Vision Data Science

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